Summary
Jyoti Maheswari is a Senior Applied Scientist based in San Francisco with 9+ years of experience applying ML and data science to real-world problems across real estate and e-commerce. At Zillow she builds LLM and multimodal solutions to improve customer-agent interactions and document understanding pipelines that extract structured data from thousands of documents daily. Her background spans productionizing computer vision, weakly supervised learning, and scalable embedding search—work that reduced duplication, detected fraud, and improved listing search relevance. Trained as a data scientist (MS, University of San Francisco) with an engineering grounding from NIT Warangal, she pairs rigorous experimental benchmarking with product-minded deployment. An early-career product manager and quality lead, she brings cross-functional leadership and operational rigor to ML systems that must perform at scale.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Chemical Engineering, 9.23/10, Bachelor’s Degree, Chemical Engineering, 9.23/10 at National Institute of Technology Warangal
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of San Francisco
English, Hindi, Assamese