I'm a third-year Electronics and Communication Engineering student at Haldia Institute of Technology (CGPA 8.65). I build end-to-end Python applications — from ML models deployed on Streamlit to REST APIs built with FastAPI and PostgreSQL. I have hands-on experience with AWS services including EC2, S3, and RDS. 150+ LeetCode problems solved, 13,000+ views on my community posts.
I'm a passionate builder currently pursuing my B.Tech in Electronics and Communication Engineering at Haldia Institute of Technology (2023–2027), holding a CGPA of 8.65. I thrive at the intersection of complex problem solving and real-world intelligence.
My core focus is on Machine Learning fundamentals and Data Structures & Algorithms. Currently diving deep into trees, hashmaps, and advanced ML architectures. When I'm not studying, I'm likely brainstorming the next ML pipeline to deploy to AWS, or participating in the campus chess club!
CGPA: 8.658/10.0
Amazon Web Services
Microsoft & Skill India
Udemy
End-to-end supervised learning system using the Pima Indians Diabetes Dataset (768 samples). Trained Logistic Regression, Random Forest, and SVM — achieved 77% accuracy with Random Forest. Deployed on Streamlit for real-time clinical predictions.
Predictive model on 1000+ student records to forecast academic performance. Applied regression and ensemble methods achieving R² of 0.89. Includes EDA, feature importance ranking, and data visualisation dashboards.
Production-ready REST API for a blogging platform with full CRUD operations. Features user registration and login with JWT-based authentication, post creation and publishing, nested comments, like/unlike system, and a separate admin role with elevated controls. Built with FastAPI and PostgreSQL (hosted on Neon), deployed on Render.
Facilitated 30+ college reviews through campus outreach.
Created promotional content and event documentation.
I'm currently looking for new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!