I'm a Computer Engineering student at VJTI with strong expertise in Machine Learning, Agentic AI, and Full Stack Development. I specialize in building RAG evaluation pipelines, agentic reporting systems, and multi-agent architectures using LangChain and LangGraph.
From traffic sign recognition with CNNs (98% accuracy on GTSRB) to AI-driven sports journalism platforms with audio narration, I bridge classical ML with cutting-edge agentic AI. My work spans LLM fine-tuning, RAG systems, NLP, and full-stack development with Python, Next.js, and FastAPI.
I believe in combining solid ML foundations with agentic capabilities to build systems that learn, reason, and act autonomously. My projects reflect this vision—fusing ML with LLM-powered agents for real-world impact.
Cutting-edge AI solutions featuring multi-agent architectures, autonomous workflows, and intelligent automation systems
AI & Full-Stack
AI-powered medical equipment rental marketplace that connects users with verified, affordable healthcare devices nearby. Features multimodal AI safety auditing, interactive geolocation-based discovery with live ETAs, secure QR-based handover protocols, and an intelligent device companion chatbot.
Agentic AI
Advanced multi-agent AI platform that autonomously generates professional cricket reports on players/matches as a professional Sports Journalist. Features sophisticated agent orchestration with specialized roles for data fetching, analysis, narrative generation, and report formatting with dynamic audio narration.
ML & Generative AI
Intelligent malware detection platform powered by advanced ML models and conversational AI. Features comprehensive threat analysis across 8+ file formats with LangChain-driven chatbot and voice assistant capabilities for real-time security insights.
RAG & Conversational AI
Intelligent RAG-powered chat interface for dynamic document and website ingestion. Features advanced document parsing, semantic search, and conversational AI for complex query resolution with multi-format document support.
Generative AI
AI-powered expense management system with intelligent OCR processing and LLM-driven policy validation. Features automated decision-making for expense approval workflows and intelligent anomaly detection with 90%+ accuracy.
3D & ML
Web platform to design, visualize, and personalize home interiors in 2D & 3D. Convert 2D floor plans into 3D models, place furniture interactively, get online furniture suggestions, and estimate renovation budgets.
Computer Vision AI
End-to-end self-driving car system built with CNNs and classical computer vision. Trained on Udacity simulator data for behavioral cloning, lane detection, traffic sign recognition, and object detection.
Comprehensive expertise across Agentic AI, RAG Systems, and Full-Stack Development
Academic excellence and continuous learning journey
B.Tech in Computer Engineering
HSC (Maharashtra Board)
Recognition for excellence in competitions, leadership, and community contribution
Secured second place in a competitive hackathon by developing an AI-powered malware detection system in a team of 4, demonstrating expertise in machine learning and LangChain.
Mentored a Text-to-Handwriting project for two juniors and led Python, Git, and OpenCV workshops for 100+ students, achieving a 95% satisfaction score.
Successfully completed Hacktoberfest 2024 by contributing to open-source projects, demonstratingproficiency in collaboration, code quality, and community-driven development.
Boosted social media engagement by 40% through targeted content strategy and produced 15+ promotional videos, showcasing leadership and creative skills.
Let's collaborate on exciting projects or discuss opportunities in AI/ML and software development
I'm always excited to work on innovative projects that push the boundaries of technology. Whether you're looking for:
I'd love to hear from you and discuss how we can create something amazing together!