I'm Punit — I build data-driven ML Systems and GenAI products at the intersection of research, statistics and software engineering.
Currently a Data Science student at IIT Madras, also completed BCA at ICST Varanasi, and contributed as Research Intern at IIT Dharwad on signal-processing simulations. Every project ships clean, documented, and reproducible.
Building efficient, scalable systems with Python, translating complex algorithms into clean, high-performance code for real-world applications.
Turning raw data into actionable insights through statistical modeling, machine learning pipelines, and visual dashboards that drive decisions.
Designing AI-powered applications using LLMs, RAG pipelines, and LangChain to automate workflows and build intelligent, production-ready tools.
Python Developer · Research Intern
ML pipeline predicting system security threats from telemetry. Ensembled XGBoost, LightGBM and Random Forest with deep EDA and hyperparameter search, among all models LightGBM works best on accuracy.
View on GitHubOrchestrated Gemini + SpaCy to automate JD drafting and resume screening. Explainable match scores rank top candidates in under few seconds, plus an Al mock-interview copilot.
View on GitHubSignal-processing simulations: translating MATLAB and math specs to vectorized NumPy.
Statistics, ML, DL and systems. Maintaining a 8.72 GPA while shipping projects in parallel.
Computer applications foundation alongside the IITM data science degree.