Passionate about Generative AI, LangChain, LangGraph & Computer vision — always learning, building, and solving real-world problems.
📍 Hyderabad, India | 🎓 B.Tech, CSE, JNTUA | 💼 AI Engineer Intern
- 🔭 Currently working on AI Agents, RAG systems, and Machine Learning applications
- 🎯 Career Goal: Seeking opportunities as an AI Engineer, Machine Learning Engineer, Generative AI Engineer, or Software Developer to build impactful, real-world AI-driven solutions
- 💡 Interests: Generative AI • Agentic AI • Machine Learning • Computer Vision
- ⚡ Fun Fact: I love learning new technologies quickly and often spend my free time building AI projects, exploring LLMs, and automating everyday tasks
- 📫 Reach me at balukaripaka07@gmail.com
Developed an AI-powered financial assistant that combines Personal Finance Analysis, Tax Advisory, and Government Scheme Recommendation into a single intelligent platform. The system leverages Multi-Agent AI, Retrieval-Augmented Generation (RAG), LangGraph, LangChain, Ollama, ChromaDB, FastAPI, and SQLite to analyze users' financial data, estimate taxes, and recommend relevant Central and State Government welfare schemes based on user eligibility.
Key Features
- 📊 Personal finance analysis from CSV/Excel bank statements
- 💸 Budget tracking and spending pattern visualization
- 🧾 Income tax estimation with personalized recommendations
- 🏛️ AI-powered Government Scheme & Benefit recommendation engine
- 🔍 RAG-powered knowledge base using official government documents
- 🤖 Multi-Agent architecture with Supervisor, Finance, Tax, Eligibility, Recommendation & RAG Agents
- 📄 Intelligent report generation and personalized financial insights
- 🔐 Secure user authentication and profile management
LangGraph LangChain FastAPI SQLite Ollama ChromaDB RAG Multi-Agent AI
Built a role-based AI assistant using LangGraph, LangChain, Flask, SQLite, and Ollama for student and faculty support.
LangGraph LangChain Flask SQLite Ollama
Developed a Retrieval-Augmented Generation (RAG) system using LangChain, ChromaDB, Gemini, and Flask for intelligent document question answering.
LangChain ChromaDB Gemini Flask RAG
Fine-tuned YOLOv8 on custom datasets to detect road-related objects and improve traffic safety analysis through computer vision.
YOLOv8 Computer Vision Python Deep Learning
- 🤖 Agentic AI Systems
- 🕸️ Multi-Agent Architectures
- 🧩 LLM Engineering & RAG
- ⚙️ MLOps and AI Deployment
- 🌍 Open-source projects
- 💼 Freelance opportunities
- 🔬 Research projects
- 🚀 Startup ideas