// Python · Machine Learning · Computer Vision
A dedicated software developer and AI specialist with a strong foundation in computer science. I build intelligent systems — from blockchain-based applications to real-time computer vision pipelines — that solve real-world problems.
⚡ Powered by LangChain + Gemini AI
Secure mobile voting app for elections using blockchain for tamper-proof records. Built AI facial recognition with DeepFace for voter identity verification, anti-spoofing via deep learning, and OCR-based ID verification pipeline with database cross-checking and multi-layer blockchain security.
Personalized learning platform with adaptive MCQ & live coding assessments to determine user proficiency. Features a context-aware AI tutor with state management, AI-driven quiz generation, automated grading, and multi-language code evaluation. Improved reliability via retry mechanisms and multi-model fallback strategies.
Deep learning model classifying 7 skin diseases (Melanoma, Monkeypox, HFMD, etc.) using MobileNetV3Small pre-trained on ImageNet. Applied medical-grade augmentation & class-weighted loss — improved Melanoma recall by ~18%, achieved 81.6% test accuracy & 0.984 AUC. Exported to TFLite (4 MB, <1ms inference) ready for Android/iOS.
Desktop application for image processing featuring low/high-pass filters, median filtering, histogram equalization, and a dark-mode UI. Fully built with Tkinter and OpenCV.
Neural network image classifier built using a Hamming Network. Includes functions to load, preprocess, and classify images with labeled training and test sets.
Interactive game where a warrior navigates an arena full of enemies. Features A* pathfinding, dynamic sprite animations, grid-based obstacle detection, health/speed boosts, real-time combat, and a scoring system.
Teaching Python programming and AI concepts, mentoring students through hands-on projects and practical AI applications.
Led a team over two years, overseeing technical training and coordinating AI/Python instructional programs.
Gained hands-on industry experience in software and technology development during a structured summer internship program.
Participated in ECPC across multiple years, developing strong algorithmic thinking and problem-solving skills under competitive pressure.
I'm open to new opportunities, collaborations, and interesting projects — especially in the AI/ML space. Feel free to reach out!