Ishaan Mehta is an Associate Software Engineer with six years of experience building data and AI-driven products, currently focused on data & AI applications at Maverick Capital. He specializes in machine learning engineering and platform work—designing LLM/RAG systems, model serving APIs, and ML tooling that moved prototypes into enterprise-ready products. At Gap Inc. he led a text-to-SQL LLM pipeline, integrated vector search, and shipped reproducible ML packages for forecasting and anomaly detection, while also contributing to customer-facing e-commerce microservices. His background blends rigorous CS training from UT Austin (ML/AI and big data) with hands-on experience across Python, FastAPI, FAISS, Kubeflow/Ray experiments, and production CI/CD. Colleagues know him for turning research-driven ideas into practical systems that improve workflows and adoption; less obvious is his track record of optimizing developer experience through lightweight CLIs and microservices that accelerate ML teams. Based in Dallas, he brings a pragmatic mix of applied research, full-stack engineering, and platform-minded tooling to commercial ML challenges.
6 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at The University of Texas at Austin
Business/Corporate Communications, Business/Corporate Communications at Stanford Continuing Studies
A knowledge graph and a set of tools for drug repurposing
Contributions:2 PRs, 4 branches in 7 months
knowledgedrug-repurposingknowledge-graphdruggraph
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