Skip to content
View lalithdabilpuram01's full-sized avatar
🎯
Focusing
🎯
Focusing
2 followers · 14 following

Achievements

Achievement: Quickdraw

Achievements

Achievement: Quickdraw

Organizations

@Portfolic

Block or report lalithdabilpuram01

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
lalithdabilpuram01/README.md

Hi 👋, I'm Lalith Kumar

🌟 AI/ML Engineer & Data Scientist | RAG Pipelines · Multi-Agent Systems · LLM APIs 🌟

Passionate about building intelligent, production-grade AI systems 🌱

👨‍💻 About Me

  • 🔭 Education: M.S. in Computer Science, University of Central Missouri (Graduated May 2025)
  • 🤖 Specialized in: RAG pipelines, multi-agent systems (LangChain, LangGraph, CrewAI), LLM inference APIs, FastAPI
  • 🚀 Current Focus: Building production AI/ML systems and data-driven solutions as an AI/ML Engineer & Data Scientist at Deloitte
  • 🌱 Currently exploring: Advanced RAG architectures (HyDE, hybrid BM25 + dense retrieval, parent-child chunking, cross-encoder reranking, Self-RAG)
  • 💬 Ask me about: RAG system design, LLM evaluation (RAGAS, LangSmith), agentic workflows
  • 📫 Reach me at: ldabilpuram@gmail.com

🛠 Tech Stack

Python LangChain FastAPI OpenAI AWS Google Cloud Docker PyTorch Streamlit Git

📜 Certifications

  • ☁️ Google Cloud Professional Machine Learning Engineer
  • 🤖 AWS Certified Machine Learning Engineer Associate
  • 🧠 Databricks AI Agent Fundamentals
  • ⚡ Databricks Generative AI Fundamentals

🚀 Featured Projects

  • Production-Grade Advanced RAG Tool — Hybrid retrieval, reranking, and evaluation pipeline
  • Real Estate Research RAG Tool — Domain-specific retrieval-augmented Q&A system
  • Healthcare Premium Prediction App — ML model for insurance premium estimation
  • E-Commerce AI Chatbot — Semantic routing chatbot built with Groq and Streamlit
  • Car Damage Detection — Computer vision system using YOLOv8

🌐 Connect with Me

Gmail GitHub

📊 GitHub Stats

Pinned Loading

  1. Production_Grade_RAG_Tool Production_Grade_RAG_Tool Public

    Multi-domain Advanced RAG assistant with Streamlit, LangChain, ChromaDB, HuggingFace embeddings, and Groq. Ingests URLs and bulk PDFs with OCR fallback, supports hybrid BM25/vector retrieval, paren…

    Python

  2. ML_project_credit_risk_modeling ML_project_credit_risk_modeling Public

    An end-to-end machine learning system to predict loan default risk and assess borrower creditworthiness, featuring a modular inference pipeline and an interactive Streamlit UI.

    Jupyter Notebook

  3. E_commerce-chatbot E_commerce-chatbot Public

    An intelligent e-commerce assistant featuring a multi-agent routing architecture that combines a RAG pipeline for FAQ retrieval with Text-to-SQL for dynamic product searches.

    Python

  4. A-B-Testing-Analysis-for-AtliQ-Bank-New-Credit-Card-Launch A-B-Testing-Analysis-for-AtliQ-Bank-New-Credit-Card-Launch Public

    A two-phase data science project analyzing customer demographics to identify untapped market segments and validating a new credit card launch using frequentist A/B testing frameworks.

    Jupyter Notebook

  5. Real_estate_Assistant_RAG Real_estate_Assistant_RAG Public

    An intelligent domain-specific research assistant implementing a core RAG pipeline with LangChain, ChromaDB, and Llama-3 to extract context-aware insights and source citations from unstructured rea…

    Python