Jinal Shah

Forward Deployed Engineer at Norm Ai

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Jinal Shah is an associate solution engineer with nine years of hands-on experience building full‑stack, customer‑facing AI applications, currently delivering high‑impact solutions for federal customers at C3 AI. He blends strong academic foundations in computer science and cognitive science (3.9 GPA from Rutgers) with practical product delivery—owning end-to-end projects at Amazon that saved engineering hours and prototyping automation that reached production. His background spans data science, ML research, and visualization (Munich Re, Rutgers research), where he built ETL pipelines, model interpretation visuals, and meta-models that improved forecasting accuracy. As a student leader he taught deep learning to peers and led projects from RL agents to transformer code generators, showing a knack for turning research concepts into working demos. Jinal’s work is notable for focusing on removing stakeholder friction—translating complex ML into usable tools—and for repeatedly delivering measurable productivity gains.
code9 years of coding experience
job5 years of employment as a software developer
bookHigh School Diploma, High School Diploma at West Windsor-Plainsboro High School South
bookBachelor of Science - BS Majors in Computer Science & Cognitive Science, Minor in Business Administration, Bachelor of Science - BS Majors in Computer Science & Cognitive Science, Minor in Business Administration at Rutgers University–New Brunswick
bookMaster of Science in Engineering Data Science, Master of Science in Engineering Data Science at University of Pennsylvania
languagesEnglish
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Github Skills (4)

computer-vision5
pytorch4
ai3
kaggle1

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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Contributions:22 commits, 59 pushes in 6 months
Jinal-Shah01/MLAlgorithms

May 2020 - May 2020

Contributions:29 commits, 44 pushes, 1 branch in 17 days
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