Summary
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.
8 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at West Windsor-Plainsboro High School South
Bachelor of Science - BS, Majors in Computer Science & Cognitive Science, Minor in Business Administration, 3.9/4.0, Bachelor of Science - BS, Majors in Computer Science & Cognitive Science, Minor in Business Administration, 3.9/4.0 at Rutgers University–New Brunswick
English