Kaggle Portfolio
Notebooks Expert rank #2,441 / 59,663 — personal best #707. 34 notebooks, 11 datasets, 3 models, 1 competition entry. 10 bronze medals across ML, DL, NLP, Computer Vision, and regression.
My Kaggle journey spanning machine learning, deep learning, NLP, and computer vision. Achieved Notebooks Expert status through consistent contributions and community engagement.
Early in my career I pushed notebooks consistently across domains — regression, classification, NLP, CV — and reached a personal best rank of #707. After joining Bank of America in 2022 I shifted focus to production engineering. Returning to active Kaggle work in 2025 alongside the Indian multilingual LLM research, current rank is #2,441 out of 59,663.
The portfolio includes exploratory data analysis, model implementations, and educational notebooks across the full ML stack. The LLM reliability benchmark research is the most recent published work.
Key Highlights
- Notebooks Expert — current rank #2,441 / 59,663 | personal best #707
- 34 published notebooks with 10 bronze medals
- 11 datasets contributed to the community
- 1 competition entry
- 3 models published
- Most recent: Qwen 2.5-7B reliability benchmark research report (2026)
- 6-notebook Indian multilingual LLM training pipeline (2025)
- Certified in ML, Deep Learning, and Computer Vision
Tech Stack
ML/DL
Data
CV
NLP
Challenges
- Returning to competitive Kaggle after a period focused on production engineering
- Communicating complex ML concepts clearly in notebook format
- Keeping up with a rapidly evolving model landscape
Key Learnings
- Teaching others through notebooks solidifies your own understanding
- Consistent small contributions beat sporadic large ones for community rank
- Production engineering and research ML reinforce each other more than they compete