Open to opportunities

Bharath Simha Reddy Muthyam

@bharathsimhareddy

AI/ML engineer building production LLM and agentic AI systems with RAG pipelines, evaluation, and MLOps at enterprise scale.

United States

Message

What I'm looking for

I’m looking for a role where I can ship production LLM/RAG and agentic AI systems end-to-end—building evaluation and monitoring, improving reliability and latency, and working with research/product to translate real requirements into deployed AI.

I build production LLM systems and agentic AI workflows, designing RAG pipelines and multi-agent orchestration for enterprise operations.

At Frontier Communications, I’ve shipped LLM-powered applications with LangChain, LangGraph, and OpenAI API—pairing prompt engineering with evaluation frameworks to track faithfulness and model drift.

I also set up MLOps infrastructure with CI/CD automation, drift detection, and model monitoring, plus FastAPI + Docker inference APIs optimized for low latency.

Earlier, I ran end-to-end ML for telecom and finance at Teradata—delivering churn prediction, fraud detection, and forecasting with PySpark and XGBoost, and tightening SQL/ETL performance in Teradata Vantage and Snowflake.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

Frontier Communications

Mar 2025 - Present (1 year 5 months)

Built production LLM systems and agentic AI workflows, designing RAG pipelines and multi-agent orchestration processing 1.2M+ daily records with 19.5% accuracy improvement across enterprise operations.

LLM RAG LangGraph OpenAI API fastAPI Docker CI CD AWS Azure MLOps Model Monitoring

Jr. Data Scientist

Teradata

Feb 2021 - Jan 2023 (1 year 11 months)

Built scalable ML pipelines for enterprise telecom and finance clients, developing churn prediction, fraud detection, and forecasting models using PySpark and XGBoost with 16.5% precision improvement.