I'm a second-year BTech student currently contributing to NumPy, scikit-learn, and Statsmodels — with merged PRs in NumPy and Statsmodels, and active reviewing in scikit-learn. Most of my time goes into going deep on Deep Learning, NLP, and ML fundamentals, from linear algebra up through transformer architectures, because I'd rather build production-grade ML pipelines from first principles than just wire together APIs.
Before ML pulled me in, I had a strong foundation in offensive security — web app pentesting, malware analysis, CVE research, and a Kali Linux home lab I've run since 2022. That mindset still carries over: I like taking things apart to understand them, whether it's a vulnerability or a model.
I'm active on Kaggle and always tinkering with open-source. Ask me about ML pipelines, feature engineering, NLP, or how to get started contributing to open-source — happy to talk shop.
