I build full-stack applications, automate workflows, and train machine learning models that ship to production.
Python · JavaScript · Java · C++ · REST APIs · LLM Integration · scikit-learn · Streamlit · Flask · Node.js
Five end-to-end systems I designed, built, and shipped independently. Each one solves a real problem. Click any project to explore the live build or repository.
Final-year CSE diploma candidate. I write code that ships — from database schema to production deployment.
I am a full-stack software engineer with hands-on experience in automation and applied machine learning. I build applications from database to interface, and I train models that actually get deployed to real users.
During my residential internship at NIT Jamshedpur, I engineered and benchmarked 10 ML models on real-world Kaggle weather data, then shipped the best performer as a production Streamlit application with interactive geographic queries. I do not build toy projects. I build systems that solve problems.
My stack is Python, JavaScript, Java, and C++. I work with Flask, FastAPI, Node.js, and Streamlit. I integrate Claude, OpenAI, and Gemini APIs into real applications. I automate document workflows. I ship code that works.
Benchmarked 10 ML models on Kaggle weather data. Deployed the best performer via Streamlit with interactive geographic queries and real-time prediction visualization.
Structured engineering training in Python fundamentals, scripting, and software architecture. Foundation for all subsequent ML and automation work.
CGPA: 4.3 / 5.0. Matriculation from Holy Cross School: Grade A (85%). Active in competitive coding and open-source contribution.
Open to full-time roles, internships, and freelance projects in full-stack development, ML engineering, and workflow automation.