Summary
Haodi Qi is a data-driven developer and machine learning practitioner with eight years of experience building and deploying AI solutions across automotive, supply chain, and enterprise analytics. At CARRO he led an acoustic team that deployed multiple deep learning models powering ~800 daily inspection API calls and coordinated collection of over 200,000 engine audio samples, while also saving the company roughly USD 3,500 monthly by shipping an LLM-powered ticketing assistant. He has hands-on experience from research-grade reproducibility with Docker and bug-benchmarks to production model deployment on AWS and API design. Haodi blends product sensibility and stakeholder coordination—leading cross-functional teams with Agile, OKRs and Jira—to turn messy real-world data into operational insights and dashboards. Notably, his early work combined computer vision and near-infrared spectroscopy for automated quality scoring in trade finance, showing a penchant for unconventional sensor fusion approaches. Based in Singapore, he pairs strong analytical rigor with practical delivery across research and commercial settings.
8 years of coding experience
4 years of employment as a software developer
Singapore-Cambridge General Certificate of Education (Advanced Level), 4 Distinctions, Singapore-Cambridge General Certificate of Education (Advanced Level), 4 Distinctions at Victoria Junior College
Bachelor's degree, Business Management, 4.14/4.00, Bachelor's degree, Business Management, 4.14/4.00 at Singapore Management University
Chinese, English