Upendra Nalla
@upendranalla
I build LLM-powered workflows, RAG systems, and scalable AI backend services.
What I'm looking for
At Moveworks, I build Python and FastAPI backend services for AI-driven workflow automation and enterprise search. I develop RAG pipelines with LangChain and vector databases to improve contextual accuracy and enterprise knowledge retrieval.
I integrate LLM APIs into document understanding, semantic search, and employee support workflows. I also design AWS-based APIs for document ingestion, embedding generation, and inference, while implementing prompt evaluation and response validation workflows.
Previously at Quantiphi, I developed machine learning solutions for financial and healthcare clients using Python and AWS. My work included anomaly detection for suspicious transactions, real-time and batch ML inference APIs, prediction-drift monitoring, and NLP document classification.
I bring hands-on experience deploying production AI systems with FastAPI, AWS, Docker, Kubernetes, vector databases, and scalable data pipelines.
Experience
Work history, roles, and key accomplishments
Engineered Python and FastAPI-based backend services for AI-driven workflow automation and enterprise search. Built RAG pipelines using LangChain and vector databases, and integrated LLM APIs for document understanding and semantic search.
Education
Degrees, certifications, and relevant coursework
Rowan University
Master of Science, Computer Science
2022 - 2024
Pursued a Master of Science in Computer Science at Rowan University from 2022 to 2024.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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