Health-report and exercise ML services — AI engineer / Tech Lead
I built and maintained ML and rule-based health reports and exercise plans for a residential mobile app, including model fine-tuning on client data.
For a major Japanese residential developer’s mobile app, I delivered systems that turn logged health, nutrition, and exercise data into regular health reports and quarterly exercise plans — combining ML models and rule-based advice.
What I contributed
I elicited requirements, trained and fine-tuned models on client data, designed and built the services, took over exercise-recommendation work after its POC, investigated production issues, optimised performance (including Cython where it helped), deployed and maintained on AWS, and met the client regularly in Japanese. Related dashboard API work for the same app covered health logs, step recommendations, and health scores.
Stack
Python, PyTorch, AWS (EC2, VPC peering, QuickSight), Cython for hot paths where needed.
Outcome
Residents receive scheduled health and exercise guidance from data they already log — with models and rules I could iterate under client review.