Asad Mahmood is a data scientist based in San Francisco with six years of experience building ML and AI-driven products that deliver measurable value. He has led small teams to productionize deep learning systems—cutting QA answer search latency by 90% with a Neo4J-backed NLU/NLG pipeline—and built an OCR service with 93% accuracy exposed via FastAPI. Comfortable across the stack, he combines Python, deep learning frameworks, SQL variants, AWS services and Docker to turn prototypes into MVPs for computer vision, conversational AI and predictive analytics. His background includes automating model selection for fermentation-stage prediction at E. & J. Gallo Winery and teaching data science fundamentals as a graduate instructor, reflecting both applied impact and an aptitude for mentorship. Asad’s interest in knowledge graphs and transfer learning informs pragmatic solutions that bridge research and deployable systems.
6 years of coding experience
2 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at University of the Pacific
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National University of Computer and Emerging Sciences
This repository contains my path to prepare for Google's Tensor flow Developer Certificate.
Contributions:2 PRs, 98 pushes, 2 branches in 21 days
tensor-flowtensorpreparetensorflowcertificate
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