Building intelligent systems — from dataset to deployment. Computer vision, machine learning, and AI backends.
Aspiring AI professional with hands-on experience in computer vision, machine learning, and full-stack AI solutions. I build real-world AI systems — from dataset creation to model deployment.
Currently exploring Generative AI, fine-tuning LLMs, and MLOps pipelines. Open to internships, collaborations, and interesting problems.
A content-based movie recommendation system using cosine similarity that suggests films based on user behavior and preferences.
This project is a Financial Risk Management tool that calculates Value at Risk (VaR)—a metric used to estimate the maximum potential loss of an investment portfolio over a specific timeframe with a certain level of confidence (e.g., 95%).
ML model that predicts used car prices based on features like brand, year, fuel type, and mileage.
Classic ML classification project that predicts iris species using multiple algorithms.
I'm always up for a good challenge — internships, open-source collabs, or building something cool from scratch. Reach out.