Summary
Jesse Tao is a research engineer and former electrical engineer with eight years of experience applying data science, embedded systems, and web development to real‑world problems. Based in Denver, he blends firmware and cloud skills—STM32/Raspberry Pi embedded work and TensorFlow/OpenCV deployment—with full‑stack web and database design to collect, visualize, and operationalize geographic data. At Tao Innovation Labs he led a crowdfunded project that fused real‑time geolocation, a MySQL-backed live feed, and notification tooling to deliver actionable maps to users. Now at BlockScience he focuses on research-driven engineering, bringing statistical modeling, time series forecasting, and scalable pipelines to bear on complex systems. Unusually, he pairs hands‑on C/C++ and microcontroller experience with Python data stacks and cloud deployments, enabling ideas to move from sensor to production.
8 years of coding experience
1 year of employment as a software developer
Data Science Immersive, Data Science Immersive at General Assembly
Bachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at University of Colorado Boulder