I'm an AI Engineer and Software Developer passionate about building intelligent, end-to-end systems that solve real-world problems. My work focuses on the intersection of Deep Learning, Generative AI, and robust Software Engineering. I enjoy turning complex challenges into scalable and efficient solutions, from developing award-winning predictive models to deploying full-stack AI applications.
I'm currently applying my skills as a Software Development Engineer Intern at Arbro Pharmaceuticals, developing Data-Oriented solutions for the pharmaceutical industry.
Languages:
Web Development & APIs:
AI, ML & Data Science:
Databases & Tools:
- FinTrack - Loan Default Predictor - An award-winning predictive model using XGBoost that achieved 85% accuracy and mitigated financial risk by 30%. This work was published at the IEEE SCOPES 2024 conference.
- Stratify - AI Project Manager - An AI-powered tool using Flask and Generative AI to automate task allocation and team structuring. [Live Demo]
- SeeSharp (Intel Project) - A real-time image super-resolution system using PyTorch & Knowledge Distillation, achieving a 95% model size reduction.
- ECOSORT - A Deep Learning model for waste classification with 90% accuracy using TensorFlow and OpenCV.