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Designing and deploying AI-powered products — from LLMs and RAG pipelines to intelligent web interfaces.
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A collection of projects showcasing my skills in AI, Web Development, and Software Engineering.

LLM-powered interview system with OpenAI APIs for dynamic question generation, answer evaluation, and personalized feedback. Features structured evaluation pipelines analyzing technical accuracy, fluency, sentiment, and STAR-format responses with real-time speech intelligence.

End-to-end AI pipeline automating image processing for 10+ government exams. Integrated U2-Net for background removal with OpenCV fallback, built rule-based validation engine with face detection and multi-face rejection for compliance.

Real-time face recognition system using ResNet-based embeddings with multi-face detection. Implemented behavioral analytics using Eye Aspect Ratio (EAR) and head pose estimation. Designed liveness detection achieving >95% accuracy with scalable processing pipeline.

MERN-based platform connecting customers with local service providers (electricians, plumbers, cleaners). Features geospatial search with MongoDB + PostgreSQL hybrid architecture, real-time tracking via Socket.IO, Razorpay payments, and DSA-driven job allocation using heaps, queues & graph algorithms.

Full-stack MVC web app connecting college students via profile discovery, filtering, and near real-time chat (AJAX polling). Built with Java Servlets as controllers, JSP + JSTL views, JDBC DAOs, and PostgreSQL. Features secure auth, profile photos, unread message badges, and session-based access control.

Full-stack resume builder with real-time ATS scoring (0–100), SpaCy NLP keyword extraction, TF-IDF job description matching, and grammar analysis. Features 5 professional templates, PDF/DOCX export, JWT auth, and multi-resume dashboard. Built with React + Redux frontend and Django REST backend.
A quick overview of my education, technical skills, projects, certifications, and achievements. You can also download my complete resume.
