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Sai Muddinedi

@saimuddinedi

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Forward Deployed Engineer at Benchmark Gensuite building enterprise AI agents and RAG systems that automate workflows.

United States

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At Benchmark Gensuite, I build Python and FastAPI services that connect LLM applications with enterprise systems. My RAG pipelines improved answer relevance by 28%, and I developed AI agents that automate multi-step employee requests.

At Leena AI, I built NLP pipelines that processed over 300,000 documents and improved information retrieval accuracy by 35%. I also developed semantic search, ML services, and data pipelines for enterprise applications.

Experience

Work history, roles, and key accomplishments

Current

Forward Deployed Engineer

Current

Benchmark Gensuite

Jan 2026 - Present (10 months)

Built Python and FastAPI services integrating LLM applications with enterprise systems, reducing manual information retrieval time by 35%. Developed RAG pipelines and AI agents, and deployed containerized AI services on AWS.

Python fastAPI Lang Chain LangGraph Pinecone AWS EC2 S3 Lambda Bedrock Docker Kubernetes MLFlow GitHub Actions CI CD Cloudwatch PostgreSQL REST APIs RBAC PII Masking

Junior AI/ML Engineer

Leena AI

Apr 2022 - Jun 2024 (2 years 2 months)

Built NLP pipelines with Python, Hugging Face, and Sentence Transformers to process over 300,000 documents, improving enterprise information retrieval accuracy by 35%. Developed semantic search and trained ML models, and created Flask REST API microservices.