Dhruv Pawar

Final-year B.Tech CSE student with Honors in Data Science (2026 graduate). Specialized in Gen-AI and LLM development with hands-on experience building production RAG systems, business intelligence suites, and interactive ML demos. Proficient in Generative-AI, FAISS, Transformers, and SQL optimization, with multiple deployed projects on Streamlit and Gradio platforms.

AI-Lawyer: Legal Research Assistant Neural Data Analyst — AI-Powered Business Intelligence Suite

Technologies: LLM, LangChain, FAISS, Sentence-Transformers, Streamlit, RAG

• AI System Development: Developed production-ready Retrieval Augmented Generation (RAG) system for Indian legal document analysis, achieving 94.2% document processing accuracy and 91.7% legal query accuracy
• Advanced Search Implementation: Implemented semantic search with FAISS and Sentence-Transformers, integrated Groq LLMs via LangChain, and optimized retrieval latency through advanced caching and index sharding
• Performance Optimization: Built Streamlit UI with lazy loading and modular architecture, reducing end-to-end processing time by 40% while maintaining 92% extraction accuracy on complex legal documents

Neural Data Analyst — AI-Powered Business Intelligence Suite — AI-Powered Business Intelligence Suite

Technologies: Python, Streamlit, SQL, Groq LLMs

• Natural Language Processing: Built Neural Data Analyst AI interface that translates plain-English queries into optimized SQL, executes queries on SQLite, and auto-generates visualizations
• Multi-Model Integration: Engineered benchmarking pipeline integrating six LLMs via Groq API for model selection and performance comparison, with automated evaluation on latency, accuracy, and cost metrics

PROJECTS & ACHIEVEMENTS

• Dev-Clash 24-Hour Hackathon : Developed and deployed AI-powered educational chatbot using Python, LLM APIs, and machine learning frameworks, implementing personalized learning algorithms and real-time support capabilities within 24-hour constraint

• Open Source AI/ML Technical Contributor: Contributing to multiple enterprise-grade generative AI projects, implementing performance optimizations, debugging algorithms, and building production-ready applications using RAG architecture, prompt engineering, and scalable system design

• MaTPO Maharashtra State Competition - Final Round: Reached final round of Maharashtra State Group Discussion Competition from thousands of statewide participants, demonstrating advanced communication skills, critical thinking, and analytical reasoning capabilities (2025)