🌱 I'm currently exploring: Data Science and AI, focusing on building LLM-based applications and RAG systems.

💬 Ask me about: Python, RAG, LLMs, Langchain, Machine Learning, NLP, or Prompt Engineering.

⚡ Fun fact: 30% improvement in chatbot performance isn't just a number - it's the difference between a frustrated user and a delighted client!

• Implemented proposition-based chunking for optimized RAG systems
• Used Milvus vector DB and cosine similarity search for efficient retrieval
• Reduced hallucinations and improved context retention in AI responses

• Built predictive maintenance models for turbofan engines
• Achieved 82% accuracy with Random Forest
• Used MSE, RMSE, and R² metrics for model evaluation

• Eliminated latency bottlenecks and improved response times
• Implemented Markdown table-based loader for better PDF processing
• Boosted performance by 30% with vector stores and hybrid search

• Bronze Medal in House Prices – Advanced Regression Techniques (Kaggle Competition)
• 4 Star in SQL - Hacker Rank

• B.E. in Mechanical Engineering, R V College of Engineering, Bengaluru (2020-2024)
• GPA: 8.23/10.00