Why ML?
- Based in
- Current
- Focus
I am interested in the part of machine learning where theory becomes an actual system.
I enjoy understanding why a model works, where it fails, how it can be improved, and what happens when it leaves the notebook and enters the real world.
My current goal is to grow into a Machine Learning Engineer who can contribute to serious research while also building systems capable of surviving production.
Relevant coursework
- Data Structures & Algorithms
- Database Management Systems
- Object-Oriented Programming
- Operating Systems
- Computer Networks
- Artificial Intelligence
- Deep Learning
- Cloud Computing
Academic
timeline
M.Tech
Computer Science Engineering
The beginning of the research chapter.
B.Tech
Information Technology
Selected
records
Listed as citations rather than awards.
- [01]
Smart Bengal Hackathon 2024, Runner-Up, 2nd Place.
Placed 2nd among 500+ teams statewide; built and presented an end-to-end AI solution within a 36-hour deadline.
- [02]
Smart India Hackathon 2023, National Finalist.
Selected among the top 1% of teams nationally; represented RCCIIT in the Healthcare AI track with a prototype emergency response system.
- [03]
ACM RCCIIT Student Chapter, Vice Chair.
Led 40% membership growth; organised 3 technical workshops and 2 inter-college coding competitions with 300+ participants; managed a ₹2L annual budget.
- [04]
Competitive Programming, 300+ problems solved.
Across LeetCode, Codeforces and CodeChef.
- [05]
Open Source, Linux AUR package maintainer.
500+ downloads; contributed to 5+ GitHub projects; 2 public repositories with 100+ stars combined.
- [01]
Python · Machine Learning · C Programming
5-star in each; top 5% globally per domain.
- [02]
Cloud Digital Leader · Compute Engine · Cloud Storage
Google Cloud Skills track.
- [03]
Deep Learning Specialization
Neural Networks, CNNs, RNNs, Sequence Models.
The next chapteris stillbeing written.
More experiments. More questions. Better systems.