Summary
Eric Ho is a machine learning engineer in San Diego with 9 years of experience applying ML and engineering to real-world operational problems across healthcare, maritime, and robotics. With MS and BS degrees in Electrical Engineering from UC San Diego, he has productionized time-series forecasting and computer vision models that materially improved hospital bed demand forecasts (<7% MAPE) and ETA predictions for inland waterways. He combines full-stack deployment skills (Django APIs, Docker, Redis, Databricks, AWS, IIS) with model optimization and automation, including a feature-selection pipeline integrated into an auto-ML workflow. His background spans applied research—publishing work on object recognition for children with autism—and hands-on robotics/point-cloud work from a Brain Corp internship, revealing a knack for bridging research and production. Colleagues rely on him to turn noisy sensor and operational data into reliable, deployable systems that measurably reduce error and operational friction.
9 years of coding experience
4 years of employment as a software developer
University of California, San Diego
High school diploma, High school diploma at Schurr High School