Mahtab Farrokh

Applied Scientist at Thomson Reuters

Vancouver, British Columbia, Canada
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Summary

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Senior
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Mahtab Farrokh is an Applied Scientist with a decade of experience building ML systems that bridge research and production, currently focused on RAG, multi-agent chatbots, and LLM-driven legal workflows at Thomson Reuters Labs. She has a strong academic foundation from a Computer Science MSc and a publication record from applied healthcare projects—ranging from computational pathology and cancer recurrence prediction to Alzheimer’s detection from audio—demonstrating both domain depth and practical impact. At Amii she led end-to-end LLM pipelines and productionized GPT-4 + LangChain solutions, improving legal document automation and information retrieval through hybrid search and reranking techniques. Comfortable across the stack, she also has hands-on deployment experience with Docker and FastAPI and has taught and mentored in AI-for-health and accessibility-focused projects. Passionate about healthcare applications, she repeatedly applies contrastive self-supervised learning and novel evaluation metrics to boost predictive performance in medical imaging settings. Based in Vancouver, she combines research rigor with product-minded engineering to deliver ML solutions that impact clinicians and legal professionals alike.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at University of Alberta
bookAmirkabir University of Technology
languagesEnglish, Persian
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Github Skills (29)

linkedin8
gateway8
nvidia7
job-search7
rust7
vertex-ai6
logging6
azure-openai6
load-balancing6
anthropic5
azure5
openai5
llmops5
ai5
llm5

Programming languages (3)

GoHTMLPython

Github contributions (5)

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Contributions:22 commits, 21 pushes, 1 branch in 6 months
mahtabfarrokh/HuntMate

Feb 2025 - Jul 2025

Your companion for job hunting! :)
Contributions:19 reviews, 7 PRs, 44 pushes in 4 months
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