ML / Platform Engineer (Edge AI, Data, Backend)
FOQUS
Sep 2025 — PresentComputer Vision and model serving • Rebuilt the people-tracking / attendance pipeline on edge mini-PCs using OpenCV, YOLO, OpenVINO and ByteTrack, reaching 21/21 detection accuracy in QA and cutting CPU load by roughly 50% versus the previous version. • Took over a stalled vision-language model deployment on an RTX 5090 (32 GB) by diagnosing a CUDA / driver incompatibility with vLLM and moving to a reproducible uv-based install; cut model deployment time from about 2 hours to 15 minutes, and ran GLM-4.1V-Flash / Thinking and GLM-4.6 in production, including one-minute video inputs. • Built gue
