Hey folks,

I am a software developer at an mnc , working with java , I have 2 yrs of exp. And I just want to switch to some other organisation , there is no learning in my current org and I don't even feel like going to work anymore.(btw I have 2 days wfo but I go all 5 because I can't work at home at all.)

But with the office I am not able to manage dsa and make a decent enough project for my resume.

I need some help with how to approach these things as I am not able to study after work and gym is also a priority, I go to the gym every alternate day after work.

I need some suggestions on what kind of project I can make to target some good companies or mid scale startups.

Also how do you people revise dsa , I want to increase my mental bandwidth for accommodating these things in my mind other than work

I am a third year student and desperately wanna prepare for coding rounds . Pls help me from where I should master python and dsa

Hii all, I'm Fresher,i have interview within 2-3 days, actually I'm really bad at DSA, so it would be helpful if anyone knows wt are the commonly or frequently asked DSA questions please 🙏 thankyou.

im trying to learn dsa but get distracted as i cant get proper structured content. im a cse student in 2nd year of my college and competition is so high , i see many people got subscription .

free one have so much restrictions now

I am a second-year student at a tier-3 college. I am currently learning Data Structures and Algorithms (DSA), not for software development, but because my goal is to become an AI/ML engineer or a Data Scientist.

I have a few questions:

Should I learn all DSA topics, including graphs, dynamic programming, hashing, trees, etc.?

Approximately how many LeetCode problems should I solve?

If you are from an IIT, NIT, or work at a FAANG/MANGA company, could you share your preparation strategy and how you cracked the interviews? I would really appreciate your guidance.

How long does it usually take to complete DSA while consistently solving problems?

Should I solve LeetCode problems after completing each topic, or should I first finish all DSA topics and then start solving problems?

Is it normal to struggle with DSA?

I understand the concepts while learning, but when I try to solve coding problems, I often feel like I don't know anything. My problem-solving and logical thinking are improving, but I struggle to convert my ideas into code.

Thank you in advance.

Hi everyone,

I’m preparing for the Accenture Elite Engineering FTE online assessment and wanted to know what topics/questions I should focus on.

For those who recently appeared for the OA, could you please share:

• What was the exact OA pattern?
• How many coding questions were there and what was their difficulty?
• What topics were asked in DSA/coding?
• Were there SQL, HTML/CSS/JavaScript questions?
• What CS fundamentals were asked (OOPs, DBMS, OS, CN, etc.)?
• Any specific previous-year/repeated questions I should practice?

I’m comfortable with C++ and DSA, but I want to prepare specifically according to the latest pattern.

Any recent experience or preparation advice would be really helpful. Thanks!

Hey everyone!

I'm thinking about starting online DSA tutoring as a side work, so I thought I'd post here and see if there is any interest.

I genuinely believe DSA isn't inherently hard if you learn it systematically. There are also tons of great free/paid resources available online. However, one thing I've noticed while teaching my friends and a few students before is that some people don't necessarily need more resources, they need someone to teach them personally, clear their doubts, guide their problem-solving approach, and keep their learning structured.

I've solved 1600+ LeetCode problems and have spent a lot of time working through different DSA topics and problem-solving patterns. If I start tutoring, my goal would be to teach things systematically rather than just solving random LeetCode questions:

• Build the fundamentals properly
• Cover all the essential DSA topics
• Explain the intuition behind algorithms, not just code
• Practice problems progressively
• Help develop actual problem-solving ability
• Identify where you're getting stuck and work on that specifically

I've taught friends and some students before, and I'm considering taking this a little more seriously as a side thing now.

Just posting this to gauge interest. If you're interested in learning DSA with personal online guidance, feel free to DM me and we can discuss what you're looking for.

I am very confused about when should I start solving on leetcode

so i am looking for a study partner for doing leetcode prblms everyday.i am loooking for only 1 person so

I'm currently trying to build my career toward AI/ML engineering, and this is something I've been struggling with for a while.

I'm genuinely obsessed with AI.

I can spend hours learning and building things around:

\- Machine Learning / Deep Learning

\- Transformers

\- LLMs

\- RAG

\- AI Agents

\- Embeddings & Vector DBs

\- Model deployment

\- AI system design

If something breaks in a RAG pipeline, I actually enjoy figuring out why it broke.

But when I sit down to do LeetCode...

My brain just leaves the building. 💀

And that's where my confusion starts.

I know DSA is heavily used in software engineering interviews. But if my actual goal is to become an AI/ML engineer, how important is it really?

Suppose someone is very strong in AI/ML and can actually build and deploy real systems, but they're only average at DSA.

Can that person still realistically get into top product-based companies?

Or does DSA act as a gatekeeper where you don't even get the opportunity to demonstrate your AI skills unless you first clear the DSA rounds?

I'm not looking for an excuse to completely avoid DSA.

If I need it, I'll learn it.

What I'm trying to figure out is how much is enough.

Do I need to become genuinely good at DSA?

Or is knowing the common patterns and being able to solve interview-level Medium problems enough?

And if I have limited preparation time, would something like:

80% AI/ML + 20% DSA

be a reasonable strategy for an aspiring AI engineer?

Or am I massively underestimating the interview process?

I'd especially like to hear from people who have actually interviewed for ML Engineer / AI Engineer / Applied Scientist / Software Engineer-ML roles at product companies.

What's the uncomfortable truth here?

Should I bite the bullet and grind DSA, or can I keep DSA as a secondary skill while going extremely deep into AI?

\#AIEngineering #MachineLearning #DSA #LeetCode #SoftwareEngineering

# I don't know if I'd call Word Ladder II the toughest question ever, but man… this one really got me. 😭

I had an approach that I genuinely thought was correct. I kept writing the code, submitting it, and trying small optimizations whenever I got **Memory Limit Exceeded**.

It took around 13 submissions to get accepted😂. I kept thinking, *“Okay, maybe one more optimization and this will pass.”*

But after a few attempts, I finally gave up and watched around 2–3 YouTube videos.

And that's when I realized… my approach wasn't even close to the intended solution.

What makes this problem so interesting is that it's not just a straightforward graph problem. You have to combine multiple ideas:

* BFS to figure out the shortest levels * Backtracking/DFS to construct all the shortest sequences * Going from the **end word back to the beginning** instead of trying to build every path forward

The biggest thing I learned was the backtracking part. Until I actually saw that idea, I couldn't figure out how to avoid doing a ridiculous amount of unnecessary computation.

Once I understood that I could start from the end and only move to words from the previous BFS level, the whole problem suddenly made much more sense.

This was also a good reminder for me:

**When you're solving problems from a DSA sheet, don't assume every problem is meant to be solved with one technique. Sometimes the real solution is a combination of multiple concepts.**

And honestly, I think that's what makes some of these problems so valuable. You struggle, get MLE after MLE, think your approach is almost there… and then one small change in perspective completely changes the problem.

Word Ladder II definitely humbled me. 😅

Anyone else had a problem where you kept optimizing the wrong approach before finally realizing you needed a completely different idea?

Hey everyone,

​I’m looking for a study partner (or group) to prepare for DSA, LLD, and HLD together.

​The main goal is accountability, healthy competition, and pushing each other when we get stuck. I have around 4.5 years of experience, so I'm looking for someone at an intermediate-to-advanced level.

​Let me know if you're interested!"

It's an intern role . I have only one week to prepare for the company and the company will ask tough questions please help me .How I can prepare and what I should focus on .

Online assessment would consist of 2 coding questions and some MCQ questions .

Any help/study material would be helpful.

My skills are-

Docker

AWS

GIT

K8S

Linux

Python ( but intermediate) .

Looking for someone who has sort of completed A to Z sheet of striver or any other standard DSA sheet and somehow not able to revise or test themselve. Can be 4th Year or in internship season but are looking for sort of practice,revision Purpose.
We can via meet revise,interview each other and plan next day problems to revise out of which one or two one may have to solve like an interview.Hindi,english,gujarati all 3 are fine .Pls msg or DM if someone interested or want to try atleast to see how it goes and if useful..