About Me
Passionate Full Stack Developer and AI Engineer with a strong focus on building scalable web applications and advanced AI models. Experienced in developing production-ready RAG chatbots, multi-agent systems, and deep learning models. Proven track record in hackathons and research programs.
Experience
Software Engineer Intern
CoderTrails
Engineered a production-ready, AI-powered RAG chatbot using FastAPI, LangChain, and AWS for accurate retrieval and summarization from large documents. Boosted PDF query efficiency by 70%, slashing document analysis time.
Research Intern
Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth
Developed and optimized deep learning models (VGG-16, MobileNet, DenseNet) for crop disease detection. Improved detection accuracy by 15% and achieved over 90% real-world accuracy.
Research Fellow
Algoverse AI Research Program
Selected for a competitive, mentor-led research program focused on advanced AI topics.
Backend Engineer
Freelance (Confidential Client)
Designed and implemented a multi-agent AI system using LangChain and LangGraph. Optimized application performance by redesigning agent architecture to a parallel execution model.
Featured Projects
Codetrace-ai
Built a privacy-first autonomous code intelligence agent combining Vector DB (ChromaDB) and structural Graph DB (SQLite + NetworkX) for deep codebase understanding. Engineered hybrid semantic + call-graph analysis (Tree-sitter) enabling blast-radius impact analysis and cross-file dependency tracing across 6+ languages. Developed CLI + MCP server integration for IDEs (Cursor/Claude), supporting offline execution with local LLMs (Ollama) and smart delta re-indexing.
Research Copilot — AI Research Assistant
Built a production multi-agent research assistant (LangGraph) with 3 specialized agents: Paper Analysis, Web Research, and SOTA Tracker to automate deep technical literature reviews. Designed a Reasoning RAG pipeline combining section-aware and hierarchical summarization with ReACT logic, enabling iterative reasoning traces to surface technical gaps and novel contributions in papers. Implemented an Advisor-Specialist agent validation layer that cross-checks technical accuracy across hierarchical document levels before report generation, significantly reducing hallucination risk.
PEAR — Personalized Evaluation of Allergens and Recipes
GitHub Hackathon Project. Rapidly prototyped an AI-driven MVP using LLaMA 3.2 to evaluate potential allergens in recipes, enhancing dietary safety.
SHL Assessment Gen-AI
Hugging Face Assignment. Automated recruiter workflows by building a Gen-AI tool to map job descriptions to assessment tools, reducing manual effort by 80%.
AKD Daginawala
Engineered a full-stack jewelry discovery application using Flutter and Supabase for seamless cross-platform performance. (Under Development)
Fake Emotion Detection System
Patent published. A system for detection of fake and genuine emotions from facial images. Also published a journal paper on CNN-ANN fusion approach.
Skills & Expertise
languages
frameworks
ai ml
tools
Get In Touch
Let's work together
I'm currently looking for new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!