Summary
Sai Cholleti is a software engineer with 11 years of experience specializing in building production-ready AI, data, and cloud-native systems. He combines hands-on software and data engineering—developing microservices, RAG pipelines with Pinecone/Chroma/FAISS, and full-stack AI apps using Flask, React, and Azure—to automate operations and improve reliability by measurable amounts. At Quadrant Technologies he focused on enterprise AI agents using LangChain and LangGraph, and his prior work scaled systems handling over a million monthly transactions with Spring Boot and FastAPI. His data engineering work spans large-scale ETL, AWS Lambda/EventBridge automation, and predictive modeling (RF, XGBoost, LSTM) that reached up to 87% accuracy on airline metrics. As a George Mason University graduate teaching assistant with a 4.0 MS in Data Science, he pairs academic rigor with practical deployment skills like CI/CD, ARM templates, and observability. Based in the Greater Seattle Area and now at Google, he’s known for bridging research-quality models and pragmatic engineering to deliver reliable, automated intelligence.
11 years of coding experience
1 year of employment as a software developer
Master's degree Data Modeling/Warehousing and Database Administration, Master's degree Data Modeling/Warehousing and Database Administration at George Mason University
Bachelor of Technology - BTech, Bachelor of Technology - BTech at VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)