Summary
Upasna Menon is a Senior Member of Technical Staff specializing in Applied AI with nine years of experience building scalable, production-grade ML and distributed systems. She has led GenAI and data-collection initiatives at Morningstar, architecting RAG pipelines, speech-to-text workflows with Whisper, and semantic search using Weaviate and OpenAI models. Comfortable across Java and Python, she designs low-latency microservices and deploys them on AWS (ECS, Lambda, RDS, Step Functions) with IaC via Terraform and CDK. Now at Salesforce, she brings practical ML deployment experience combined with strong data engineering and API design skills. Her background includes full-stack development and performance tuning in clinical data environments, which gives her a rare mix of product-facing UX sensitivity and backend optimization chops. Based in Chicago with a master’s in Computer Science from UIC, she maintains a public GitHub presence reflecting hands-on experimentation in applied AI.
9 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at University of Illinois Chicago
B.E – Computer Science & Engineering, B.E – Computer Science & Engineering at CMR Institute of Technology, Visvesvaraya Technological University
English, French, Malayalam, Kannada, Hindi