Available to hire
Hi, I’m Rasoul Nasiri, a senior computer vision and ML engineer with 10+ years of production experience. I have a PhD in Computer Engineering from the University of Waterloo and conducted research at IRIB R&D and Huawei before joining Meta. I specialize in building robust, scalable CV/ML systems for edge devices and real-time processing, with a track record of delivering patent-backed solutions.
I enjoy bridging research and product teams, shipping end-to-end ML pipelines, mentoring junior engineers, and contributing to open-source projects in CV/ML. In my spare time I write technical notes and explore new AI tooling.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
Persian
Fluent
English
Fluent
Work Experience
Senior Computer Vision & ML Engineer at Meta
January 1, 2025 - PresentLead development of AI solutions to improve imaging pipelines for AR devices. Designed multi-modal sensor integration for imaging systems, guided data collection and perceptual benchmarking for ML models focused on video encoding and processing, and trained/optimized models to enhance video acquisition quality and pipeline efficiency.
Senior AI Research Engineer at Huawei Technologies
January 1, 2019 - January 1, 2025Built optimized computer vision models for mobile hardware with latency and compute reductions. Integrated multimodal and LLM-based perception modules into product prototypes. Engineered robust real-time image/video analysis systems for internal pipelines and created tooling to accelerate data processing, evaluation, and benchmarking.
Doctoral Researcher at University of Waterloo
January 1, 2014 - January 1, 2019Built ML models for video quality and motion assessment; performed feature engineering and statistical evaluation for video analysis pipelines.
Senior Member Technical Staff – Video Processing at SIM Wave (IMAX)
January 1, 2014 - January 1, 2016Developed real-time video processing modules using FFmpeg/C++. Built compression analysis tools (H.264, HEVC, MPEG-TS) and automated visual-quality analysis. Designed I/O pipelines and test frameworks.
Project Manager and Computer Vision Team Lead at AmCo, Tehran, Iran
January 1, 2012 - January 1, 2014Designed and implemented multi-camera 3D video object detection and tracking; optimized tracking for soccer players in multi-camera setups; designed and calibrated camera networks to support streaming and synchronization; led engineers, designers, and technical personnel.
Senior Research Engineer and Video Compression Analyst at IRIB R&D Center, Tehran, Iran
January 1, 2011 - January 1, 2012Investigated codec performance (MPEG-4, H.264, H.263, VP8); conducted comprehensive studies on compression tools vs hardware; explored color format quality (444 vs 422 vs 420) and compared output quality across configurations.
Education
PhD at University of Waterloo
January 11, 2030 - February 2, 2026MS in AI at Sharif University of Technology
January 11, 2030 - February 2, 2026BSc in Computer Engineering at Sharif University of Technology
January 11, 2030 - February 2, 2026Qualifications
US Patent 11,630,510 – Gaze Estimation
January 1, 2023 - February 2, 2026US Patent 11,430,138 – Multi-Frame Interpolation
January 1, 2022 - February 2, 2026US Patent 10,958,869 – Neural Frame Interpolation
January 1, 2021 - February 2, 2026Closed-range speech detection
January 1, 2025 - February 2, 2026Industry Experience
Media & Entertainment, Software & Internet, Gaming, Education, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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