Computer Engineering student at VJTI specializing in Agentic AI, Machine Learning, and Generative AI systems. Building autonomous AI agents with multi-agent architectures, advanced ML models, and cutting-edge LLMs that can think, reason, and act independently to solve complex real-world problems.
I'm a Computer Engineering student at VJTI with strong expertise in Machine Learning, Agentic AI, and Generative AI. Starting with classical ML and computer vision, I now specialize in building autonomous AI agents using multi-agent systems and LLM orchestration.
From achieving high accuracy in traffic sign recognition with CNNs to developing AI-driven sports journalism platforms, I bridge traditional ML and cutting-edge agentic AI. I work with TensorFlow, PyTorch, LangChain, and RAG to build intelligent systems.
I believe in combining solid ML foundations with agentic capabilities to build systems that learn, collaborate, 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
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.
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.
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.
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.
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. Built with React, Three.js, Flask, and ML integration.
An end-to-end self-driving car system built with Convolutional Neural Networks and classical computer vision. Trained on Udacity simulator data for behavioral cloning, lane detection, traffic sign recognition, and object detection. Also features a full-stack JavaScript-based self-driving car simulator with neural network visualization, spatial grap.
Comprehensive expertise across Agentic AI, Generative AI, and cutting-edge technologies
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.
Boosted social media engagement by 40% through targeted content strategy and produced 15+ promotional videos, showcasing leadership and creative skills.
Conducted Python/Git workshop and OpenCV workshop for 100+ participants with 95% satisfaction rate at ProjectX, VJTI.
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!