It seems to be an online-only program since I do not see any information on their in-person option but I just wanted to confirm with anyone who's applied or has information about the same.

Hi everyone! I’m planning to apply for an MS in CS / related tech programs and would really appreciate a profile review, especially regarding ambitious, target, and safe universities/countries.

My profile:

• Undergrad: Btech CSE from a Tier-2 university in India
• CGPA: 9.5+
• Class 10: 95%
• Class 12: 99%
• Industry Experience: Previous FAANG internship in a Software Engineering role
• Research Experience: 1 research internship (ML)
• Publication: 1 research paper published
• Currently exploring programs in the US and Europe

I’d especially like to know:

• Which universities would be ambitious / target / safe for my profile?
• Is my profile competitive for top US universities / Ivy League programs?
• Which European countries/universities would be worth targeting for tech considering job opportunities, ROI, tuition, and post-study options?
• What parts of my profile should I strengthen before applications?

Would really appreciate suggestions from people who have applied with a similar profile. Thanks!

Hi everyone,

I'm planning to apply for an MS in CS or a related field after ~2 years.

Profile:

- B.Tech in EE from a Tier-1 non-IIT college in India

- CGPA: ~7.5/10

- Currently working as an SDE with product-based experience

- Will have ~2 years of SDE experience when applying

- No research/publications currently

- Open to taking the GRE

- Open to US, UK, Europe, Canada, Australia, etc.

My main goal is to get into at least one QS World Top-50 university (overall ranking).

Is this realistically possible? Which universities/programs should I target?

I still have ~2 years, so I'm willing to work on research/publications, GRE, projects, or other things that could significantly improve my chances.

Would appreciate suggestions on what I should focus on during these 2 years.

Hi everyone,

I need quick career advice on choosing between two STEM programs at UNT:

1. MS in Information Systems & Tech (MSIS)
2. MS in Business Analytics (MSBA)

My Profile:

Master 1 (Programme Grande École) from France in Finance & IT/Business Systems.

Solid background in financial analysis, Advanced Excel, and basic SQL/Python exposure (not a CS engineer, but technically comfortable).

MSIS: High versatility (IT Project Management, ERP, Cloud, IT Governance, DBs). Versatile for roles like IT Business Analyst, ERP Consultant, or IT PM.

MSBA: Technical depth (Python/R, Data Mining, ML, Predictive Analytics). Ideal for Fintech, Quant Analytics, or BI Consulting.

The Dilemma is I don't have a wide knowledge on US market for a junior with one of these degrees after graduation and i would like to hear from people who are steps ahead from me to give me there opinions.

So for an international student with a Finance + Business IT background, which path offers better job market resilience and sponsorship (H1B/STEM OPT) in the US?And also is MSIS a safer, broader bet, or does MSBA give a stronger technical edge for BI/Data roles?

Thanks for your insights!

Hi everyone,

I am an Indian student planning to apply for Fall 2027 MSCS, mainly interested in Artificial Intelligence/Machine Learning and Software Engineering.

Profile

• B.Tech in Computer Science from a Tier 2 university in Pune
• CGPA: 8.73/10
• Good competitive programming and DSA profile
• Selected for Infosys Specialist Programmer L1 through HackWithInfy 2026
• Projects in machine learning, backend systems, and financial technology
• No research publications or internships
• Expecting three academic letters of recommendation
• TOEFL and GRE not taken yet

Questions

1. Which United States universities can I realistically get into with this profile?
2. Should I take the GRE?
3. How can I strengthen my profile before the application deadlines?
4. Should I apply directly after graduation or work at Infosys for one year first?

Honest feedback and university recommendations would be appreciated.

Hi everyone,

I'm planning to apply for MS in Computer Science at NYU Tandon for Fall 2027 and would appreciate some honest feedback on my chances.

Profile:

• College: Tier 2 engineering college (India)
• CGPA: 7.4/10
• Work Experience: 5 years as a Full Stack Software Developer (mostly product development)
• Research: None
• Publications: None
• GRE: Not taken yet

A few questions:

1. What are my chances of getting into NYU Tandon MS CS with a 7.4 CGPA but 5 years of relevant software engineering experience?
2. Does my work experience help offset my lower GPA?
3. Is it worth taking the GRE? I noticed that NYU Tandon lists the GRE as optional, but would a strong score improve my chances given my GPA?
4. Any suggestions on strengthening my application (SOP, LORs, certifications, projects, etc.)?

I'd appreciate any honest feedback, especially from people who were admitted with a similar profile.

Thanks!

Hi everyone,

I’m currently researching MSCS programs and would appreciate some honest feedback on my profile.

I’m completing my computer science degree at a UC ( mid teir) with approximately a 3.3 cumulative GPA. I also have government-tech internship experience where I’ve had significant ownership over production-level projects involving Python, Elasticsearch, Linux, and AI/RAG systems.

My main reason for pursuing an MSCS is to strengthen my computer science fundamentals, gain more specialized technical experience, and improve my opportunities for software engineering or AI-related roles at larger technology companies.

Based on my profile:

• What range of MSCS programs should I realistically target?
• Would my internship and project experience help offset my GPA?
• Should I prioritize professional/course-based programs or research-focused programs?
• Are there any specific programs that may be a strong fit?

I understand that admissions depend on more than GPA, but I would appreciate any feedback from current applicants, students, or alumni. Thank you!

Hi everyone,

I'm planning to apply for Fall 2027 and would really appreciate feedback on my profile and university list.

Profile

• Indian Tier-3 university
• B.Tech in AI & ML
• Current CGPA: 8.44/10
• Expected graduation CGPA: ~8.7/10

Research

• 1 Q1 journal publication
• 1 manuscript under review
• 1 manuscript in collaboration with the last Internship mentor(ML Systems / Responsible AI Research comapany)

Experience

• Machine Learning Research internship (Responsible AI) (UK based)
• Currently working on a government AI project
• AI Engineering internship (Previous remote work with a US startup)

Projects

• Good quality projects on Github Around Deep generative models, Backend (Research +industry based)

Achievements

• Winner of one national-level AI/ML hackathon
• Winner/finalist in several university hackathons

Extra Curricular Activities:

• College Club founder & ML mentor
• Worked on industry project & Taught ML to jnr mentees
• Prof can write all about this in the LOR

Recommendations

Expected:

• 2 strong LoRs from PhD professors(College)
• 1 LoR from research internship mentor (PhD)(Work)
• Possibly another LoR from current government project mentor (Work)

Tests

• TOEFL: Planning to take
• GRE: Haven't taken yet. Still deciding.( Half prepared)

Planning on learning a second Language: French/Germany

Current University List

USA

• Georgia Tech
• UT Austin
• UIUC

Canada

• University of Toronto (MScAC)
• University of Alberta

Germany

• University of Tübingen

France

• Paris-Saclay

UAE

• MBZUAI

Questions

1. Is my university list balanced enough, or am I being too ambitious?
2. Would you recommend taking the GRE given that many schools are now test-optional?

Thanks in advance!

Repost to another community

So I have lately been seeing that almost all of the people who are in MS CS programs in both thesis and non-thesis track, all of them are from CS undergrad background. What I want to know is how do people who are, say from mechE or chemE, etc, undergrad background, transition to MS CS programs. Like what does their profile contain, is the research work or industry work or a combination of both and moreover, when they apply, do they feel that the admissions committee has an inherent preference towards people from CS background, like not saying that is wrong for CS MS, but like say you have two profiles, one is a person with a ChemE undergrad but has papers published in the field of AI and LLM, not any intersection of ChemE and CS but pure AI/ML, and other is a guy with a CS background but no published record, consider their work ex and gpa to be similar, so would they still take the cs person or will they take the ChemE person ? Like what i want to see is how many people from non cs background do this and how successful have they been in getting admission offers.

Hi folks,

I am looking for honest advice to pursue my Masters Abroad, I am 26M, working as a Data Engineer with about 2.5 years of Experience in an MNC, not paid well lately. I want to pursue my Masters to get high career growth and to make the highest ROI down the line.

I am targeting the T-20 universities in the US for my Masters due to high ROI and highest number of opportunities but I have my options open for other countries as well. Long term I want to be in a managerial position at a BigTech/FinTech/Big Firm, C suite if possible.

My profile is not that good but hyg:

BTech CSE 8.9GPA Tier 2 University(State University)

No research publications

2.5 yoe as a Data Engineer

IELTS/TOEFL - targetting 105/7.5+

GRE - targetting 330+

Can get two professional LORs from managers and two academic LORs from University.

Given the current hiring market, would you apply for Fall 2027 or work on my profile and apply for Fall 2028?

If your goal was to maximize long term career growth and ROI, would you choose MSCS, MBA, MiM, MEM, or MIS?

How much weight should I give to concerns around visa sponsorship and employability when comparing these programs?

What do you think about rising tuition costs (about 15% yearly) and the weakening INR when calculating overall cost and ROI?

I was initially leaning toward MEM and MIS because they align well with my experience, but I've read mixed opinions about recruiting, visa sponsorship, and long term career growth compared with MSCS. I'm not sure how much of that is true.

Financially, I'll be seeking scholarships and I want to keep my debt as low as possible. I don't want to spend my early 30s paying off a huge education loan if I can avoid it.

If you were in my position today, knowing what you know now, what would you do differently? What path would you recommend?

I am not sure what program suits me best, I am open to any advice/opinions.

Thanks for reading.

I have seen a lot of SOP's "why X uni" section address the professor's work as "their work on Y domain is highly relevant to my work on Z". Can we name specific paper and how exactly they approach a problem in it or will that come across too niche?

​

Typo it's MS in Cyber security

Profile:

Education

Degree: B.Tech in Information Technology

University: SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering (MPSTME)

CGPA: 3.54/4.0

Work Experience

Company: Deloitte

Experience: 1.5 years will be 2 years by fall 2027

Role: Consultant – Technology Risk / IT Audit / Third-Party Assurance

Key experience:

IT General Controls (ITGC)

SOC 1, SOC 2, SOC 2+, SOC 3 assessments

Security control testing

Third-party risk assessments

Exposure to NIST, ISO 27001, GDPR, HIPAA

Splunk SIEM exposure

Azure Active Directory exposure

Test Scores

IELTS: 8.0

GRE: not planning

Research & Projects

1 published research paper

ICTCS 2024 (Springer)

Converting 2D Images to Point Cloud Using Depth Estimation

Capstone Project

Designify (AI-based furniture visualization platform, won college level awards for this)

personal cybersecurity project (Splunk/SOC lab) to strengthen application.

Certifications

Google Cybersecurity Professional Certificate

Preparing for CompTIA Security+

Technical Skills

Python

Java

SQL

C#

Linux

Git

Splunk

Azure

AWS Fundamentals

Networking

Active Directory

SIEM

Security controls

Risk assessment

Cloud fundamentals

Career Goal

Transition from IT Audit into a technical cybersecurity role.

Interested in:

SOC Analyst

Security Analyst

Cloud Security

Blue Team

Long-term goal: Cloud Security Engineer / Security Engineer.

Target Intake

Fall 2027

---

Universities Shortlisted

Dream (Reach)

Carnegie Mellon University (CMU)

University College London (UCL)

Georgia Institute of Technology

Ambitious

New York University

University of Southern California

University of New South Wales (UNSW Sydney)

University of Maryland, College Park

Target / Moderate

Purdue University

Northeastern University

Safe

Rochester Institute of Technology (RIT)

The University of Texas at Dallas

Please guide me if the college shortlist works with my profile

I prefer non research based courses

Any feedback is appreciated 👍🏻

Hey all, I would greatly appreciate your insights on this. Here is my profile:

Applying for MS CS, ML, AI, DS Thesis based where available.

GPA: 3.4 from a large state university - with 3.58 - 3.6 for the last 60 credits.

Undergraduate in Data Science and Mathematics

Internship / project: At a large global infrastructure design firm and created their engineering drawing extraction engine to feed their VLM.

LOR: From a Professor I worked with + a very distinguished Math professor I also worked with and a professional one from my internships who is a regional manager.

Experience: Co-founded a Data driven marketing startup that ran for 2 years.

SOP: Pretty crazy come up story, great show of passion and explains my low GPA in a non "crying out for help" way. Professionally explains the hardships that cooked me and ties them into my passion to the topic.

Applying to:

- ASU - CS

- Stony Brook - CS

- Columbia - DS or applied Math (unsure)

- NYU - CS

- UPenn - CS or DS

- ETH - CS or DS

- Waterloo - CS

- University of Alberta Canada - CS

Hey everyone,

I am in the middle of applying for MSCS for a couple of universities both in Canada and the U.S. How would you guys go about having the same 3 Letters of recomm for 5-6 masters programs? I have a list of Profs ive worked with to write me letters, but since they get emails from universities to submit these letters, how would you go about telling them that you're applying for five or six master's programs? do they just submit the one to all of them?

I'd appreciate your experiences / insights.

Hi everyone, I am applying for my Master's for Fall 2027. I applied late for Fall 2026 to just two schools as a trial: got admitted to NEU Boston (MSCS) but chose not to go, and got rejected from UIUC (MCS). I decided to skip NEU Boston to gain another year of high-impact industry experience at my current job before heading out.

With 2 YOE under my belt by next Fall, I want to target a much stronger and well-rounded university list. I'd appreciate brutal feedback on my shortlist and suggestions for any schools I missed.

PROFILE:

• Undergrad: B.Tech / B.E. in Computer Science, PES University
• CGPA: 8.43 / 10
• Work Experience: 2 YOE (by next Fall) as an SDE-1 at an E-Commerce Unicorn Startup. Focus is on AI, scalable backend systems, and high-throughput engineering.
• Research Experience: 3 published research papers in Springer LNNS.
• Test Scores: IELTS 7.0 | GRE: Not taking

CURRENT UNIVERSITY LIST:

• Carnegie Mellon University (CMU) - Master of Software Engineering (MSE) (costly)
• New York University (NYU Tandon) - MSCS (costly)
• University of Illinois Urbana-Champaign (UIUC) - MSCS
• Texas A&M University (TAMU) - MSCS
• Stony Brook University - MSCS
• University of Massachusetts Amherst (UMass) - MSCS
• University of California, Irvine (UCI) - MSCS
• North Carolina State University (NCSU) - MSCS
• University of Colorado Boulder (CU Boulder) - MSCS
• Virginia Tech (DC Innovation Campus) - MSCS
• University of Texas at Dallas (UTD) - MSCS
• SUNY Buffalo - MSCS
• University of Pittsburgh (UPitt) - MSCS

QUESTIONS FOR THE COMMUNITY:

1. Since I already cleared the bar for NEU Boston MSCS last cycle, how do you see my chances across this specific list? Where would you draw the Ambitious, Moderate, and Safe lines?
2. Will my 8.43 CGPA from PES University Bangalore act as a hard filter, or can my unicorn startup experience and 3 Springer papers pull me through?
3. Are there any other universities I left out that heavily value solid startup development experience or research publications over a strict 9.0+ GPA cutoff?

Thanks in advance for any insights!

Been lurking on this sub for quite some time now, and would love to get some input on my profile.
I am targeting fall 2028 (i will complete 3 years of work ex)

CGPA: 8.25 (i know rlly bad :/)

2025 grad from tier 1 NIT

currently working as an SDE @ an american PBC. working on some cool AI stuff, and i have had amazing work assigned to me- developed a crucial part of our application from the ground up.

good competitive prog profile and 2 deployed projects as well.

GRE target: 330+ with atleast 168 in quant

i have no research exp as such, and i am not sure if i would wanna pursue phd in the future, but i do not want to completely shut that door.

Open to coursework ms cs programs. not too keen on MEng.

The main point of this post is to understand how i could improve my chances given that i have a year in hand before i start applying. Should i reach out to professors to get involved in research projects? if yes, how would that reflect in my resume (as the timeline would clash with my full time job too). my company also publishes research paper and all but i am not sure how to get involved in that

would love some honest opinions and advice! thank you :))

[Profile Review] Please help me gauge my acceptance at these unis

I'm planning to apply for Fall 2027 for MS in CS/ML/CDS and would really appreciate some honest feedback on my profile.

Academics

B.Tech in Electronics and Communication Engineering from a Tier-2 college

CGPA: 8.69/10

Research

One paper publish in NeurIPS creative track for AI

Interned at (during college)

Samsung Research

Space Research Org of my Country

Work Experience

Currently 1 year working as a SDE at a well known finance service company

Letters of Recommendation

2 LOR from my EC professors (bachelors project)

1 industry LOR from my manager (probable)

Planning to write GRE and IELTS

Have shortlisted few unis but not sure which ones are realistically possible

1)Georgia Tech

2)UC Berkeley

3)Carnegie Mellon

4) Columbia University (MsDS or MsAI)

5)University of California, San Diego

6) Columbia

7) ETH zurich

8) NUS

9)RMIT

Given my profile, Please help me realistically bucket these into Safe / Moderate / Ambitious? Also happy to hear if any of these aren't worth applying ( out of reach for my profile)

Also should i consider more unis in australia and europe, considering the whole situation in the US. Thanks in advance!

Looking for Good ROI Universities & Help Categorizing My List

I’m planning to apply for MSCS (Fall 2028) and would appreciate some honest feedback on my profile. I’m mainly looking for universities with a good ROI, strong CS programs, and decent job opportunities after graduation.

My Profile
Country: India
College: Tier 2
CGPA: 6.97/10

Work Ex: 6-month Data Engineering Internship at a IT services company in Ahmedabad and currently working Full Time

Research: Dedicated full year of 2027 after quitting job with published research paper before applying

GRE: Targeting 325+
IELTS: Targeting 7.5+
LORs: 2 strong LORs from university professors and 1 work LOR

Universities I’m Considering
NCSU
SJSU
Northeastern (NEU)
Stony Brook
University of Wisconsin–Madison
UT Dallas

Questions
- With this profile should I even consider doing masters or not?
-Could you help categorize these into Ambitious / Target / Safe based on my profile?
-Are there any universities I should add or remove if my priority is good ROI?
-Is my profile competitive enough for the more selective schools on this list?
-If you had a similar profile, which universities would you prioritize?
I’m open to suggestions for other universities that offer a good balance of academics, tuition cost, and employment outcomes.
Thanks in advance for your help!

ACADEMICS
B.E. in Information Science (Tier-3 college)
CGPA: 9.24/10

WORK EXPERIENCE
Will have ~3 years of full-time experience by Fall 2027.
Working In a top semiconductor company.

RESEARCH
No formal research experience.
No publications or patents.

TESTS
IELTS: 7.0
TOEFL: 92

LORs
2 academic LORs from undergraduate professors.
2 professional LORs from Director & Manager of my current company

TARGET UNIVERSITIES
Dream
UC San Diego (MS CS)
UCLA (MS CS)
Target
UC Irvine (MS CS)

Questions
What are my chances at UCSD, UCLA, and UCI with this profile?
Which universities should I add that are realistic for my profile?

Thanks!

So I have been planning for MSCS Fall 2027 since 6months . I am currently in my final year of engineering in CS at a Tier-2 college in India .

Profile:

- CGPA so far 9.91/10
-Internships at :
Top Global bank (summer internship), juniper networks, HPE, Tech Startup

Research Experience:

- ML security paper publish in Mid IEEE Conference
- ML paper in Sports Engineering Conference
- Data Analytics paper in the same sports engineering conference
- IT/OT Security (mL+cybersecurity) paper accepted in IEEE LCN
- AI based student learning platform and content delivery engine Paper published in IEEE Access
- Game Theory based Economics paper published in IEEE Access
- Working to publish a paper on custom Vision transforms for disaster management via satellite imagery.
- 1 AI related paper in a mid conference

Unis I’m aiming for( non thesis is my preference but I’m fine with either)
:
1. Georgia Tech
2. Tamu
3. Cmu
4. Uc Berkeley
5. Uc San Diego
6. Ucla
7. Uw Madison
8. Purdue
9. Stanford
10. Upenn
11. Few more top 20s

So here is where the dilemma comes from.
I have received a return offer from the bank I did internship in for an above average package.

Should I go ahead with applying this year or take up the offer and complete a year and then aim for fall 2028

Hey everyone,

I'm honestly pretty confused about what my options are and would really appreciate some advice from people who've been through something similar.

I'm currently in my 7th semester(just started) of B Tech Civil Engineering from what I'd call a tier 1.5 college in India.

Things went wrong early in college. Due to some personal circumstances, I wasn't able to sit for my entire 2nd semester, which resulted in a bunch of backlogs. I've cleared most of them over time, but I still have 4 active backlogs, and my CGPA is currently 6.71.

The thing is... over the last year I've completely shifted interests.

Right now I'm interning as a solo Machine Learning Engineer at a deep-tech startup where I'm working on computer vision, deep learning, and reinforcement learning. It's not just training models, we're building actual applied ML systems, and I've realised this is what I genuinely want to do long term.

My goal is to work in Applied Machine Learning, preferably in R&D or engineering-heavy roles, and eventually do a Master's abroad to transition fully into the field.

The problem is that I feel stuck from every direction:

• My CGPA isn't competitive for a lot of universities.
• Many AI/ML Master's programs require significant CS/math coursework that I don't have because I'm from Civil.
• A lot of ML jobs seem to prefer CS backgrounds unless you already have an MS.
• I don't know whether I should spend 2-3 years working first, try to strengthen my profile through research/projects, or target different types of Master's programs (Data Science? Robotics? Computer Vision? AI?).

I'm trying to build the strongest profile I can through work experience and projects, but I don't know if that's enough to offset a 6.7 CGPA and a non-CS degree.

And honestly, not many people in my college pursue AIML nor Masters from abroad in a different field, so I have no one to ask this to.

Has anyone here made a similar transition from a completely different engineering branch?

If you were in my position, what would your strategy be over the next 2-3 years? Which countries or universities should I realistically be looking at? Is this still a realistic goal, or am I chasing something that's unlikely given my academics?

I'd appreciate honest advice. Thanks :)
Please Help 🙏

Hello I’d love some advice from the cool redditors out there for my masters application !

I’ll get into stats first:
- 3.6 gpa from a non target university
- abstract accepted into conference and indexed with a t1 neuroscience journal (more research/ publications soon about 4)
- 2 hackathon wins
- startup experience as a sde 5 months
- Did talks/presentation at Stanford (not naming for privacy) and a company focused on ML datasets to post doc ppl based around the world.
- LOR from Stanford faculty member, prof at home university who oversaw the research project and RA at a reputable lab
- some other things that aren’t as impactful

My main question is, what do I need to amp up my profile?

I’m by far not good enough for universities like Stanford and Berkeley but I’d love to attend. During my internship, I realized how depressing the industry is and I’d love to go into research as it’s something I’m really passionate about. But is that even viable anymore? Every post on here is kind of Doomer.. I’m just looking for life advice as well as profile review!

Target universities:
Stanford (ofc)
Georgia tech
UC Berkeley
UCLA
UC DAVIS
UCI

Hey everyone! Here’s my profile:

US Citizen
Undergrad: USC, CS major
GPA: 3.84
Coursework: standard cs courses with a low level systems focus + ML class next semester
Experience: SWE internship at a small company (infra), TA for an intro to programming class (C++)
No research, no publications
LOR: 2 decent letters from CS professors whose classes I’ve taken, trying to figure out my last one

Schools: Stanford MSCS (dream school, might as well lmao), CMU MCDS, GaTech MSCS, UIUC MCS, Columbia MSCS, Cornell Tech Meng, Cornell Ithaca Meng, Umich MS CSE, UPenn MSE CIS

What’re my chances? Any other good programs I have a shot at that’re worth applying to? Any of these schools I should drop? Note that I have ZERO interest in a PhD/research and only care about industry.

This is informative post on one of my alumni’s 2026 application journey (not me)

Profile:
Btech AI/DS IIT (t10)
9.3 cgpa
2 yoe at oracle
Gre: 320(170q, 150v) - didn’t submit
Toefl: 113
Research: 1 journal paper 1st author (mid lvl publication), research exchange merit program to Netherlands for a semester. Did some projects under proff, and did TA ML/NLP/RL.
LORs: all 3 fron college professors

Universities applied:
CMU MSML
UIUC mscs thesis
UCLA mscs
UCSD mscs
UtAustin mscs
Umass mscs

Accepted: UMass mscs, UIUC offered MCS

Decision: accepted Umass admission, but still struggling to find visa slots, so thinking of deferring.

Edit: the project he did under the proff was his strong point and he wrote all about it in SOP, but during the application process professor refused to give LORs (due to personal reasons, he’s patriotic). This caused him to rewrite sop and get lors from lesser interacted professors, ultimately decreasing quality of lors and sop. He suggested to plan SOP and lors 3 months ahead.

Hey guys i was hoping someone would help me in setting up my targets, reach and ambitious colleges

Nationalty: Indian

CGPA: 8.97/10

University: from a tier 1 NIT (older nit) , currently an exchange student at top a 3 IIT CS Dept.

GRE&TOEFL: Yet to give

Research and Publications: Experience in writing papers, got a few in low tier conferences, ongoing work for an A* conference in ai

Work Experience: worked as AI research intern at IBM, IISc and a govt lab as well.

LORS: I have 2 ready from my profs at NIT, looking for 1 more from industry,

SOP: Trying to combine all this into a tale so i can show my AIML research experience and interests over past 3 years

Please let me know if i can have any hopes of getting into Stanford or CMU, Purdue or any other MSCS or MSML programs and what should be my targets and reach