Lalith Sreevari - AI Engineer & Agentic AI Specialist
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About Me
Hello! I'm Lalith Sreevari, an AI Engineer graduating from KLH University (2025) with a CGPA of 8.88 in Artificial Intelligence & Data Science. I specialize in Agentic AI, RAG Systems, Multi-Agent Systems, and Large Language Model (LLM) engineering.
I currently work as an AI Engineer at Taurean Surgicals and previously interned at IIT Hyderabad (LV Prasad Eye Institute), working on the GRABI real-time focus detection system.
Core Skills
- Generative AI & LLMs: RAG (GraphRAG, HyDE, SRAG), LangChain, LlamaIndex, OpenAI API, Prompt Engineering, Fine-Tuning.
- Agentic AI: Multi-Agent Systems (Swarm Architecture), AutoGen, CrewAI, Task Decomposition.
- Development: React.js, Next.js, Python (FastAPI, Flask), Node.js, MongoDB, Pinecone (Vector DB).
- Cloud & DevOps: Google Cloud Platform (Vertex AI, Cloud Run), Docker, GitHub.
Featured Projects
MedQ AI: Clinical Decision Support System
A multi-agent system powered by 20+ specialized AI agents for medical diagnosis, treatment planning, and interaction checking. Uses Hybrid RAG for high accuracy.
TherSwitch RX: Drug Interaction Simulator
An AI-powered simulator that predicts potential drug-drug interactions and suggests safer alternatives using advanced pharmacological data.
Health Passport
A secure, interoperable health data architecture allowing users to own and share their medical records across different providers.