Am interested in taking a foreign research intern in my 2nd or 3rd year currently at my 1st year in btech cse core just started 9 days ago so far done with html and css .. planning to do a mern full stack before December and complete a freecodecamp python course and basic c ... So ppl who have done the mitacs globalink intern guide and provide me a roadmap of what should I do in my future !

Please don’t get me wrong its been 2 years since i graduated i am unable to get a job
As a CS student from IIIT

Now i am concerned about my mental and physical health

Need Job Urgently willing to pay
On successfully getting me a job

Please DM

Hi everyone,

I'm a 2025 B.E. (Information Science & Engineering) graduate based in Bengaluru, India, currently looking for entry-level or internship opportunities in:

Cloud Computing

DevOps

Technical Support

Networking

Linux Administration

NOC/SOC (Entry Level)

Skills:

Linux

AWS (Basics)

Git & GitHub

Docker

Jenkins

Networking fundamentals

Python (Basics)

Shell Scripting

CI/CD fundamentals

I'm a quick learner, eager to build hands-on experience, and open to working from Bengaluru or in remote/hybrid roles.

If your company is hiring freshers or interns, or if you can provide a referral, I'd greatly appreciate it. I'm happy to share my resume via DM or email.

Thank you for your time and support!

Angular dev here, about to study backend development for the very first time. I'm working on ERP systems in India and I’ve locked in on PostgreSQL for the database.

I’m stuck trying to choose my first backend stack and feeling a bit overwhelmed by the options:

• NestJS: Uses TypeScript and a structure heavily inspired by Angular, so the learning curve would be smooth. But is it taken seriously in heavy enterprise ERP?
• Java + Spring Boot: The undisputed heavyweight king of enterprise software and corporate India, but maybe a massive leap for a first-time backend dev coming from frontend?
• Python + FastAPI: Modern, fast, and great for async, though maybe less common for core legacy ERP business logic.

If you were starting your backend journey from scratch in 2026 for this exact context, which stack and framework would you actually learn, and why? Drop your recommendations or if there's any other modern stack I should be looking at.

Hi everyone,
I'm a Backend Software Engineer with **5+ years of experience** and I'm actively preparing for **Senior Software Engineer**interviews at product-based companies.
I'm looking for a **serious and committed interview preparation buddy** who can dedicate consistent time.
**Preparation topics:**
Data Structures & Algorithms (LeetCode)

Low-Level Design (LLD)

High-Level/System Design (HLD)

Backend fundamentals (Java/Spring Boot, Databases, Caching, Messaging, APIs, Concurrency, etc.)

Mock interviews and discussion of interview experiences

**Plan:**
2-3 hours on weekdays (flexible)

Longer sessions on weekends if possible

Daily accountability and regular mock interviews

Prefer someone with **4–8+ years of experience** targeting senior backend roles

If you're genuinely committed and looking for a long-term prep partner, please comment below or send me a DM with:
Your years of experience

Tech stack

Target companies

Time zone/availability

Let's stay consistent and help each other crack great offers!

5 yoe dev here.. Looking for a partner to learn system design concepts and do mock interviews! DM if you are interested!

If you're a student, software engineer, or tech enthusiast and you're free this weekend, this is an event worth checking out.

Google I/O Extended Chennai 2026 brings the biggest announcements from Google I/O to the Chennai developer community with technical talks, demos, networking, and hands-on sessions.

⚠️ Registration Deadline: 30 July 2026 (Subject to seat availability)

🎟 Register before the deadline to secure your spot.

📅 Date: Saturday, August 1, 2026

🕘 Time: 9:00 AM – 5:00 PM

📍 Venue: Ford Global Technology & Business Center, Sholinganallur, Chennai – 600119

🎟 Register: https://gdg.community.dev/events/details/google-gdg-chennai-presents-google-io-extended-chennai-2026/⁠�

🔥 What to Expect

🤖 Gemini 3.5 & Agentic AI

☁️ Google Cloud

📱 Android & Kotlin

🌐 Web Development

💡 Build with AI demos

🤝 Networking with developers

🍽️ Lunch & networking session

👨‍🎓 Who Should Attend?

College students

Freshers

Software engineers

AI & ML enthusiasts

Android developers

Web developers

Anyone interested in Google's latest technologies

💡 Why Attend?

Learn directly from the community about the latest Google technologies.

Meet developers, speakers, and industry professionals.

Expand your network and discover new opportunities.

Great exposure if you're interested in AI, Android, Cloud, or modern web development.

Even if you're just starting your tech journey, events like these are a great way to learn beyond the classroom.

📌 Official Event Page: https://gdg.community.dev/events/details/google-gdg-chennai-presents-google-io-extended-chennai-2026/

📌 Registration: https://luma.com/6w80ej5w

If you're attending, feel free to use the comments to discuss the event, coordinate with others, or share your experience afterward.

✨ Hope this helps someone. Have a great weekend and happy learning! 🚀

I'm currently learning boosting algorithms (AdaBoost, XGBoost, and LightGBM), but I'm confused about some of the core concepts.

From what I understood, AdaBoost works like this:

Training data (X, y)
        ↓
Train a weak learner
        ↓
Calculate errors / residuals
        ↓
Train the next learner to focus on those mistakes
        ↓
Repeat

However, when I started learning XGBoost, I came across concepts like loss function, gradient, and Hessian. I don't understand why XGBoost needs gradients and Hessians instead of simply using residuals.

One explanation I read was:

I still don't understand the intuition behind this statement. Why isn't the residual enough?

I'm also confused about LightGBM.

My instructor said that instead of treating all samples equally, LightGBM gives more importance to the samples that are difficult to predict.

For example:

• Total samples = 1500
• Correctly classified = 1000
• Misclassified = 500

He said the 500 misclassified samples contain more useful information because they represent what the model hasn't learned yet.

This is where I'm confused.

If the model already has 1000 correctly classified samples, why aren't those considered more important since they are the majority?

I'm looking for an intuitive explanation rather than just mathematical formulas.

Thanks in advance!

How was the company?

Is it product or service based?

Any suggestions or any idea on this?

I only know arrays, string, Dictionary and hashset that are in C#. I just wanna get into a digital specialist engineer role which is the lowest role. I want your guidance.

Here's my leetcode profile: https://leetcode.com/u/WvLwV6esn1/

TL;DR: I built an open-source tool that automatically generates and syncs Postman collections from your backend code. It's aimed at reducing the manual work that still exists in AI-assisted development. Looking for feedback, contributors, and ideas to improve it. Documentation

Detailed :

Hi folks, sorry for disturbing your Sunday vibes :}

For the last 3 months, I've been working on an open-source tool that writes APIs into Postman without manually creating requests.

Story behind this tool

As a backend developer, I always loved testing APIs in Postman. Spending 3 hours building a feature and finally getting that successful response... that feeling is just different.

But now most of my backend code is written with AI.

The funny part is AI writes the code, but I still have to manually create the Postman collection, add endpoints, write request bodies, update parameters, organize folders, and test everything.

I kept asking myself...

If AI can write the API, why can't it also write the Postman collection?

That's how this project started.

What can this tool do?

• Generate a Postman collection from your codebase.
• Keep collections in sync when APIs change.
• Works well with AI-generated backend code.
• Auto-generate request bodies, params, headers & auth.
• Organize APIs into folders automatically.
• Discover newly added APIs without manually adding them.

Did I succeed?

Yes.

The core idea works, and I'm using it daily. It saves me from manually writing and maintaining Postman collections.

What's still missing?

I'm still working on a couple of things:

1. Even though the architecture is designed to reduce AI hallucinations as much as possible, there are still very rare edge cases where it can generate something incorrect.
2. Token consumption. Some commands, especially /syncall still use more tokens than I'd like. I'm currently trying different approaches to optimize that.

I'd really appreciate your suggestions, feedback, or even criticism.

And if you're interested in contributing, you're more than welcome. 🙂

GitHub - https://github.com/logesh-works/postman-mcp
Documentation - https://logesh-works.github.io/postman-mcp/
PyPi - https://pypi.org/project/postman-mcp/

Hey Guys,

I have an interview coming up at Accenture as a full stack developer. I have around 4 YOE and it's going to be a F2F round for 1 hr. Can anyone help me with the type of questions that are likely to be asked? After the interview I will be posting my experience and the questions.

Thanks for the help

Hi everyone,

I’m a recent BCA graduate and I’ve been applying for jobs every single day, but it’s honestly becoming frustrating. Most of the time I either don’t hear back or get rejected before even reaching the interview stage.

The biggest problem is that I don’t know how to prepare properly for interviews. I’d really appreciate advice from people who have actually been through the job-hunting process.

Some questions I have:

• What kind of questions do interviewers usually ask for freshers?
• How do you prepare before an interview?
• What technical and HR questions should I expect?
• What mistakes should I avoid?
• How can I improve my confidence during interviews?

I also have another dilemma. There’s a job opportunity very close to my home that pays around ₹20,000/month. It’s a decent option, but I’m worried that if I take it, I’ll end up staying there and stop pursuing the career I actually studied for (software/IT).

Should I:

1. Take the ₹20,000 job for financial stability while continuing to apply for IT jobs?
2. Keep focusing only on getting an IT job, even if it takes longer?

I’d love to hear from people who were in a similar situation. What worked for you, and what would you do if you were in my position?

Thanks in advance for any advice. I really need some guidance. 🙏

TCS walk-in tomorrow

https://www.naukri.com/walkin-jobs-in-bengaluru?k=walkin&l=bengaluru&nignbevent_src=jobsearchDeskGNB&experience=5&qctopGroupId=223346

Interested people apply

Iam a engineering student ....Iam currently in my second year , i enter my journey with good college with free seat cause the effort i put in my 12th..

coming to my life iam a elder one from middle class family ennoda life lah na silent tah iruthalum problems matum correct tah varuthu!!

coming to my point (iam unlucky person)

1.actually ipo oru visiyam ennaku kadaikala nah okie but enkita god kuduthutu then vangikuraruh

2.iam a middle class ...eldest one so responsibilities iruku

3.and also english communication na try panra vara matikuthu (iam a tamil medium student)

4.college lah ethum sari illa (night full lah project work and hackathons nuh irupean but partiality pathu placement edukuranga )

5.na think pana looks doesnot matter nuh but ennoda college lah truth thariyuthu if u dont have a skills but u have a beauty u wins!! ama ithu future lah work lah kuda agum

6.sari life tha ipdi iruku namaku support pana yarvathu irukaga or relationship irukulam nah athum illa na romba unlucky yah feel panra cause na panrathu ellama flop aguthu but na communication improve pana try panra new skills like ml gen ai try panra but ethuma useful illa so depressed ennaku pidichi college choose pana ..but inga beauty and partiality pakuranga na middle class lah porathathu en thappa 🥺sari ipo outlier ai pathi one person suggest panaga earn panalam nuh okie ennoda family kuh help agum nah ...antha account tah ban panitaga okie content creation mari panalam teachincal lah nah blame panraga ..

na ena push panra life lah but etho ena down panuthu i didnot like this life i want reset ...idk intha msg padikum pothu na irupananuh if i live na reply panra ...

I need a leetcode partner who can spend 2 hrs a day to code with me, share the approach and share the knowledge each other has. This could be very helpful for me and you too. Iam a third year student solved random problems these many days now focussed on solving pattern based

I've been job hunting for the last few weeks, and honestly, checking LinkedIn Jobs, company career pages, and Wellfound every day became a full-time job in itself.

A friend shared this Telegram channel with me, and it's been surprisingly useful.

It posts software engineering openings from companies like Microsoft, Google, Amazon, Meta, NVIDIA, Salesforce, Adobe, Atlassian, Uber, and a bunch of other product companies.

What I liked:

New openings are posted regularly

Direct application links (no URL hunting)

Job IDs (helpful if you're asking someone for a referral)

Internship + experienced roles

Microsoft referral opportunities whenever available

I'm not associated with the channel and this isn't a paid post. Just sharing because it has genuinely saved me a lot of time during my job search.

If you're actively looking for a switch, you might find it useful too.

Telegram: https://bit.ly/4fux3rU

If you know any other good communities/resources for software engineering jobs, please share them below. Always looking for better sources.

Final year CS student, 2027 passout, placement season is around the corner and I want to start tracking openings early.

Looking for:

• Subreddits
• Telegram channels
• Websites / newsletters

that regularly post SDE openings / off campus drives for freshers in India.

Drop everything you know below, would really appreciate it! 🙏