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Lokesh Reddy

@lokeshreddy4

Message

I build multi-agent RAG systems and autonomous LLM workflows for production insights.

Zimbabwe

Message

What I'm looking for

I'm looking to build production-ready AI products, especially multi-agent RAG systems, autonomous workflows, and data-driven applications that turn complex documents and data into reliable insights.

At AiHealthClinic, I design and deploy healthcare AI services, including a patient-scoped RAG platform for large medical records and an AI health coaching agent.

I've used GPT-4o Vision and LangChain to parse InBody scans, unify health data across PostgreSQL and MongoDB, and generate risk-aware, personalized recommendations. My work centers on multi-agent RAG systems, tool use, memory, routing, and reliable cloud-native backends.

I built a Hybrid Graph-RAG Knowledge Assistant that combines vector search and knowledge graphs across multi-source documents, cutting time to find relevant information by nearly 80% while maintaining under-two-second query latency.

I've also engineered an agentic analytics platform for plain-English data querying, Health Buddy for medical-report insights, and a document vectorization API for semantic search.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

AiHealthClinic

Aug 2025 - Present (1 year)

Designed and deployed production-ready healthcare AI services, including a patient-scoped RAG platform for large medical records and an AI health coaching agent using GPT-4o Vision and LangChain.

Python RAG Lang Chain GPT 4o PostgreSQL MongoDB fastAPI AWS

AI-ML Intern

AICTE – EduSkills

Apr 2024 - Jun 2024 (2 months)

Completed a 10-week virtual internship on Artificial Intelligence and Machine Learning, supported by Google Developers, gaining practical knowledge in Python, data science, and ML algorithms.

Python Data Science Machine Learning Model Evaluation