I. Of the Engineer’s Disposition
A computer vision engineer with several years’ practice
training and shipping perception systems — detection, segmentation,
tracking, depth, embeddings — across mobile, edge, and cloud. Equally
at home reading a research paper and a Caravaggio.
II. Positions Held
2023— present
Senior Computer Vision Engineer
— Studio of Imaging & Perception
Lead perception engineer for a real-time multi-camera system, owning the model pipeline from data curation through on-device deployment.
- Reduced detector latency by 38% on edge silicon while preserving mAP within 0.5 points.
- Authored the team’s annotation specification, now in use across three product lines.
- Mentored two junior engineers through their first production model launches.
2021—2023
Computer Vision Engineer
— Atelier of Applied Machine Learning
Built segmentation and pose models for an AR-camera product; co-authored two patents on view-consistent rendering.
- Designed a self-supervised pre-training routine that cut labeled-data needs by half.
- Shipped a real-time matting model running at 60 fps on mid-range mobile.
2019—2021
Machine Learning Engineer
— House of Vision Research
Worked across classification, retrieval and 3D reconstruction. First touched the production stack here and never looked back.
- Trained a similarity-search model serving 12M queries per day.
- Contributed to two open-source repositories on point-cloud processing.
2018—2019
Research Assistant, Vision & Geometry Group
— University Laboratory
Studied multi-view geometry under a generous advisor; co-authored one workshop paper.