AI Engineer focused on building intelligent systems with RAG, multi-agent workflows, and production ML
🔭 I'm currently working on MCP orchestration on GCP, Smart Tutor AI, fraud detection systems, and CNN models for skin cancer detection
🌱 I'm currently learning Advanced RAG architectures, multi-agent systems, and AI infrastructure at scale
👨💻 All of my projects are available at https://github.com/liteshperumalla
💬 Ask me about Python, AI/ML, RAG systems, LangChain, LlamaIndex, and cloud infrastructure
📫 How to reach me liteshperumalla@gmail.com
⚡ Fun fact I love building AI systems that solve real-world problems
- RAG system built with LlamaIndex, Chroma, and Ollama
- Advanced features: Metadata-aware chunking, evaluation frameworks, and content guardrails
- Tech Stack: Python, LlamaIndex, Chroma, Ollama, Streamlit
- Production ML system processing 1M+ transactions with 92% accuracy
- Real-time processing with feature engineering and model serving
- Tech Stack: Python, scikit-learn, FastAPI, Streamlit, PostgreSQL
- Deep learning model achieving 85% accuracy on 10k+ medical images
- Computer vision pipeline with data preprocessing and model optimization
- Tech Stack: TensorFlow, CNN, Python, OpenCV
- LLM/agent initiative using Model Control Protocol to orchestrate tools and data
- Cloud-native architecture on Google Cloud Platform
- Tech Stack: GCP, Vertex AI, Cloud Run, Docker, Python
- ML pipeline with feature store and backtesting capabilities
- Time series forecasting with advanced feature engineering
- Tech Stack: Python, pandas, scikit-learn, Feature Store, Streamlit
⭐️ From liteshperumalla