Summary
Jaimil Dalwadi is a founding engineer based in New York with 8 years of experience building ML models and scalable software, currently developing an automated semantic layer platform deployed at Fortune 500 companies. He blends hands-on ML research and production engineering—shipping text-to-SQL benchmarks and systems that infer joins, entities, metrics, and lineage from warehouse signals. His internships span Bloomberg (production-grade ML and high-throughput FIX replay systems), real-time computer vision in manufacturing, fintech, and healthcare platforms, showing a track record of quickly moving prototypes into production. A Waterloo CS graduate with AI specialization and a stint at NUS, he pairs statistical rigor with product-focused engineering. Outside work he’s an avid Google Maps Local Guide and markets-savvy trader, reflecting curiosity for both practical data and real-world impact. Colleagues would describe him as someone who enjoys deep technical problems and conversations over coffee while relentlessly iterating toward deployable solutions.
8 years of coding experience
4 years of employment as a software developer
Computer Science (Exchange Program), Computer Science (Exchange Program) at National University of Singapore
High School Diploma, International Business and Technology, High School Diploma, International Business and Technology at North Park Secondary School
Introduction to Quantum Computing Credit, Quantum Computing, Introduction to Quantum Computing Credit, Quantum Computing at Frontier Technology Institute
Bachelor's of Computer Science, AI Specialization, Statistics Minor, Bachelor's of Computer Science, AI Specialization, Statistics Minor at University of Waterloo
English, Gujarati, Hindi, French