Open to opportunities

Gayatri Chenna

@gayatrichenna

Message

I build production GenAI agents, retrieval workflows, and scalable ML systems for reliable enterprise software.

United States

Message

What I'm looking for

I'm looking to build and deploy reliable AI agents and scalable ML systems in fast-paced, startup-like environments where I can translate customer needs into impactful production solutions.

At Molina Healthcare, I design and ship production AI agents for healthcare documentation, using LangChain, vector search, Azure Functions, Databricks, and FastAPI. I've reduced inconsistent AI responses by 30%, improved inference reliability and telemetry by 35%, and optimized agent latency by 30% through asynchronous processing and caching.

Previously at Capital One and The Home Depot, I built ML pipelines, NLP classification models, data workflows, forecasting models, and analytics dashboards. I bring Python, TypeScript, cloud engineering, MLOps, and data engineering together to turn customer and operational needs into dependable AI products.

Experience

Work history, roles, and key accomplishments

Current

Gen AI Engineer

Current

Molina Healthcare

Jun 2024 - Present (2 years 2 months)

Designed and shipped production AI agents for healthcare documentation workflows using LangChain and vector search. Built scalable AI workflows with Python, Azure Functions, and Databricks, and improved inference reliability and latency.

Lang Chain Vector Search Python Azure Functions Databricks Prompt Engineering Semantic Search Azure Cognitive Search fastAPI azure monitor REST APIs Docker CI CD

AI/ML Engineer

Capital One

Mar 2023 - May 2024 (1 year 2 months)

Built and deployed production ML pipelines with Python and AWS SageMaker for predictive modeling and customer behavior analysis. Developed NLP-based text classification models and improved ETL processing efficiency.

Python AWS Sagemaker SQL Pandas Spark NLP Docker GitHub Actions AWS Glue Lambda S3 Cloudwatch Flask MLOps

Data Scientist

The Home Depot

Aug 2020 - Jun 2022 (1 year 10 months)

Analyzed retail and customer datasets using Python, SQL, and Tableau to support merchandising and supply chain decisions. Built predictive models and developed ETL workflows for business intelligence.