Hasan Khan

ML Engineer at Healthcare Risk Advisors

New York, New York, United States
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Summary

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Senior
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Top School
Hasan Khan is an ML Engineer based in New York with 11 years of experience building production-grade machine learning systems, currently adapting and fine-tuning large language models on medical claims data for Healthcare Risk Advisors. He holds an MS in Computer Science from NYU Courant and brings a strong applied analytics background from multiple data science roles at LMI, where he delivered NLP, topic modeling, regression-driven optimization, and ML environment frameworks for federal clients including NASA. Comfortable bridging research and production, Hasan has experience designing RAG systems and deploying models for downstream clinical and business tasks. His academic foundation in cognitive science and prior research in auditory cognition inform a human-centered approach to ML, particularly in language and clinical contexts. Fluent in translating complex requirements into reproducible workflows, he also has a history of teaching data science through workshops and creating project templates that accelerate team delivery.
code11 years of coding experience
job5 years of employment as a software developer
bookMasters, Computer Science, Masters, Computer Science at New York University
bookArabic Language Institute Fez | معھد الغة العربیة بفاس
bookBachelor of Arts, Computer Science & Cognitive Science, Bachelor of Arts, Computer Science & Cognitive Science at University of Virginia
languagesEnglish, Urdu, Arabic
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Github Skills (23)

evaluation9
ai9
mlmodel9
mlflow8
mlops8
prompt-engineering8
model-management8
machine-learning8
kin8
llmops8
openai8
observability8
apache-spark8
langchain8
markov7

Programming languages (3)

C#HTMLPython

Github contributions (5)

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Contributions:152 pushes, 3 branches in 5 years 4 months
theotherkhan/NeuralFit

Oct 2016 - Jan 2018

Contributions:70 commits, 3 PRs, 68 pushes in 1 year 3 months
parametersestimatingmarkov-chainschainsmonte-carlo
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