Deepak Agrawal
Sr. Staff Applied Research Scientist at UT Health San Antonio
Dallas-Fort Worth Metroplex United States
Summary
👤
Senior🎓
Top SchoolDeepak Agrawal is a Sr. Staff Applied Research Scientist with 12 years of experience blending machine learning, operations research and advanced analytics to solve high-impact problems across tech and aviation. He has driven 0-to-1 LLM-powered products at Meta and built production-grade forecasting and optimization models at American Airlines, applying deep learning, stochastic optimization and dynamic programming in Python, R and Matlab. A PhD-trained industrial engineer, he bridges rigorous academic methods (approximate dynamic programming, risk prediction) with pragmatic product delivery and continues to teach as adjunct faculty. Known for translating complex probabilistic models into scalable systems, he also brings a mechanical engineering background that surfaces in pragmatic automation and tooling approaches. Based in the Dallas–Fort Worth area, he combines research depth with a track record of shipping commercial ML solutions.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Industrial Engineering, Doctor of Philosophy (Ph.D.) Industrial Engineering at Penn State UniversityIndian Institute of Technology Bombay
English, Hindi
Github Skills (73)
python10
classifier10
chatgpt10
generative-ai10
ai10
gemini10
typescript10
langchain10
llm10
openai10
anthropic10
deep-learning9
pydantic9
machine-learning9
open-source9
Programming languages (7)
Github contributions (5)
deepakagrawal/fastpandavro
Mar 2019 - Nov 2019
Fast conversion of avro files to pandas dataframe
Contributions:2 releases, 28 commits, 2 PRs in 7 months
avropandas-dataframe
deepakagrawal/Hack4Rare
Jul 2021 - Nov 2021
Contributions:23 pushes, 2 branches, 3 issues in 3 months
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