Computer Vision · AI Engineering · Production ML
I design and ship practical systems for visual inspection, video analytics, industrial automation, and AI-powered products.
Python · OpenCV · PyTorch · YOLO · FastAPI · Docker · iOS
01 / SELECTED WORK
Verified work spanning industrial inspection, automation, and an open-source AI product.
Computer Vision · Edge Systems · Model Governance
A six-view line-scan inspection system connecting edge acquisition, batched vision inference, traceable defect evidence, operator review, and model iteration.
SwiftUI · LLM Integration · Multi-platform Product
A native iOS and macOS workspace for streaming AI translation, searchable saved phrases, history, and cross-device sync.
02 / ENGINEERING APPROACH
Strong demos are easy. Reliable systems require attention to data, failure modes, latency, integration, and the people operating them.
Start from the real operating environment, not an idealized dataset.
Choose the simplest vision pipeline that survives measured failure modes.
Treat deployment, monitoring, and operator feedback as part of the model.
03 / CAPABILITIES
Object detection / Segmentation / Video analytics / Image processing
PyTorch / YOLO / SAM 2 / Evaluation / Fine-tuning / On-device ML
Python / FastAPI / OpenCV / NumPy / Pandas / FFmpeg
Docker / Linux / GPU inference / Cloud / Core ML / REST APIs
ABOUT / PROFILE
My focus is practical: turning imperfect video, domain constraints, and model output into software people can depend on.
More about me04 / EXPERIENCE
Industrial AI Projects
05 / RESEARCH & EXPLORATION
Industrial anomaly detection · foundation models · multimodal industrial applications · Agent development
06 / OPEN SOURCE
START A CONVERSATION
I’m interested in computer vision, AI engineering, industrial automation, and technically challenging product work.