Selected decisions and outcomes from systems I designed, built, and operated.
AIOFARM / Design and overall development lead
The central Django backend for on-premises AI sorting systems at 20+ sites nationwide
An on-premises backend handling 30+ sorting requests per second with 8 Django apps, 5 Celery queues across 3 worker pools, and PostgreSQL RANGE partitioning.
AIOFARM / PLC middleware design and development
Modbus TCP PLC communication middleware with four separated layers and a dedicated Celery polling worker
Four separated layers (Celery / Service / Modbus / Repository) and a dedicated polling worker collect data from up to 64 sorting outlets every 10 seconds.
AIOFARM / System architecture design and development
A real-time GPU inference pipeline over 8 cameras plus a per-produce machine vision library
A torch.multiprocessing capture-inference-MV-transfer pipeline, paired with a standalone vision library package built on a BaseProcessor abstraction.
AIOFARM / Planning and build lead
Remote monitoring of 20+ field sites, automated anomaly data collection, standardized CI/CD and deployment, GitHub-Slack-Notion webhook integration
Four-part operations infrastructure: Prometheus + Grafana monitoring, FastAPI anomaly collection, GitHub Actions + Docker Compose deployment, and a GitHub-Slack-Notion integration webhook.
AIOFARM / Frontend architecture and development lead
A React + Electron desktop app running in kiosk mode on site
A React + Electron kiosk app holding 60fps on industrial PCs through virtual scrolling, adaptive polling, and monolith decomposition.
AIOFARM / Backend architecture design and development
A four-phase port moving Flask Blueprints to Django + DRF and splitting the database
A four-phase port from Flask Blueprints to Django + DRF, splitting MySQL into PostgreSQL + MongoDB, alongside security fixes and a standardized three-layer architecture.
AIOFARM / Engineering culture lead
Leading the rollout of Git Flow, architecture docs, pre-commit, and Storybook across a five-person team
Established Git Flow with PR review, an architecture document set, a pre-commit quality system, and a Storybook component development environment across a five-person team.
EasyAI / Software development
An early prototype of an image-AI produce quality prediction system
An early produce AI sorting prototype built with Python, OpenCV, and PyTorch. It became the foundation for the systems built after the AIOFARM spin-off.