# Amir Mousavi

> SWE @ eBay | ex Meta AI (FAIR) | MSc @ SFU

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/amir

Computer Science MSc (Computer Vision Concentration) with industry experience applying
computer vision and artificial intelligence to real-world products.

I’m curious about the human mind & artificial intelligence, as well as its impact on industry
and science. I am fascinated by the human visual system, and keen on tackling engineering
problems inspired by perception and vision.

## Work Experience
### Software Engineer @ eBay
Jan 2024 – Present | San Jose, California, United States

### Software Engineer Tech Lead @ Matt3r
Jan 2023 – Jan 2024 | Vancouver, BC
- Lead a team of four to develop ETL pipelines and deploy computer vision models for object detection, tracking, segmentation and monocular depth estimation 
- Design and maintain containerized ML Infra pipeline using ClearML & Triton Inference Server - reducing e2e PyTorch model runtimes from 2 minutes (per 1 minute video) down to 20 seconds
- Scale up ML Inference workflow using Apache Airflow for maximum visibility and scalability
- Convert open-source ML models to TensorRT for optimal performance

### Teaching Assistant @ Simon Fraser University
Jan 2022 – Jan 2022 | Vancouver, British Columbia, Canada
CMPT361: Computer Graphics

### Software Engineer @ Meta
Jan 2022 – Jan 2022 | Menlo Park, California, United States
- Part of FAIR Accel (Applied Research)
- Improved segmentation codebase as part of efforts to open‐source & publish results on explainability of vision models
- Setup & reported on 300+ experiments; established baselines, and reproduced results on other datasets using in‐house model, resulting in CVPR 2023 (Highlight) publication

### Computer Vision Engineer @ Matt3r
Jan 2020 – Jan 2021 | Vancouver, British Columbia, Canada
- Led the object detection safety module by training YOLOv3 on custom dataset
- Developed and deployed driving mode detection PoC onto Raspberry Pi, connecting to fleet of devices using AWS IoT
- Assisted chief data scientist to productize deep learning-based lane detection module—TF Serving, ONNX, Apache Airflow
- Introduced CI/CD pipelines to validate model integrity and accuracy before deployment to production

### Research Assistant @ University of Toronto
Jan 2020 – Jan 2021 | Toronto, Ontario, Canada
- Working in the Bernhardt-Walther Lab on perceptual grouping
- Design, implement and interpret research experiments on TensorFlow
- Read and present papers in computer vision publications to other lab members
- Utilize symmetry on perceptual grouping of parts in deep learning frameworks
- Interface with the SciNet supercomputer cluster to implement computational experiments

### Teaching Assistant @ University of Toronto
Jan 2020 – Jan 2020 | Toronto, Ontario, Canada
- Lead weekly labs, guide students to grasp fundamental concepts in Computer Science
- Hold office hours to help with assignments by answering both theory and  practical questions

### Software Engineer @ Vivacity Labs
Jan 2018 – Jan 2019 | London, United Kingdom
- As a 20% project on own initiative, pitched and implemented a custom neural network to detect false positives in the object detection pipeline, boosting overall accuracy by 6%; architected neural network, augmented images, trained classifier; paired with researcher on rollout—PyTorch
- Designed and implemented highly-scalable continuous integration pipelines to deliver data from sensors to the clients, improving pipeline throughput by 100x—Kafka, CI/
- Led platform development to track sporting facilities usage and maintenance, iterating closely with product and hardware leads to handle 7.5% of all supported traffic sensors—custom ML stack
- Maintained and monitored distributed video processing cluster—Docker, Kubernetes, Caffe
- Collaborated and oversaw API delivery as part of a nationwide platform for sports facilities, requiring extensive review to meet stringent Football Foundation requirements

### Frontend Developer @ Yocale
Jan 2017 – Jan 2017 | Vancouver, Canada Area
- Startup enabling scheduling and online appointment-booking for local businesses
- Tested, debugged, and developed new booking widget; created automated test suite; wrote technical documentation
- Collaborated with back-end developers to update booking API to allow direct customer bookings via Google search integration

### Product Manager @ Remos Capital
Jan 2015 – Jan 2015 | Vancouver, Canada Area
- Member of the team responsible for for carefully selecting and updating Ento's smart home product portfolio by conducting online research given the team's and my own insights


## Education
### Bachelor of Science (H. B.Sc.) in Computer Science and Cognitive Science
University of Toronto
Jan 2015 – Jan 2020

### Master of Science - MS in Computer Science
Simon Fraser University
Jan 2021 – Jan 2023

### Diploma
Rockridge Secondary
Jan 2011 – Jan 2015


## Contact & Social
- LinkedIn: https://linkedin.com/in/mousavi2

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Source: https://flows.cv/amir
JSON Resume: https://flows.cv/amir/resume.json
Last updated: 2026-03-22