Available to hire
Hi, I’m Reza Shoja Ghiass, a seasoned AI Technical Leader specializing in computer vision and AI systems. With over a decade of experience, I’ve led projects ranging from industrial inspection robots to AI-powered assistive robots for children with disabilities. I’m passionate about combining classical computer vision techniques with modern deep learning and large language models to build real-time, scalable AI systems.
I enjoy leading cross-functional teams through the full lifecycle of AI product development, from research and prototyping to deployment and maintenance. I take pride in bridging the gap between academic research and real-world applications, and I’m always eager to tackle new challenges in AI and robotics.
Language
English
Fluent
French
Fluent
Persian
Fluent
Azerbaijani
Advanced
Turkish
Intermediate
Arabic
Beginner
Work Experience
Lead AI Architect at Synapsis Health AI
August 1, 2024 - PresentLeading the design and development of an AI-powered assistive robot system to support children with Autism and ADHD. Architecting interactive, intelligent robotics platforms integrating real-time computer vision, large language models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and cloud-assisted AI inference. Building GPU-accelerated pipelines and multi-container orchestration using Docker and FastAPI, supported by CI/CD pipelines for automated testing and deployment. Implementing robust ETL/ELT pipelines for multi-modal user interaction data and ReAct prompting frameworks enabling dynamic AI agent reasoning and autonomous actions. Overseeing robotic frame prototyping, 3D printing, and hardware-software integration.
Lead AI Consultant/Architect – Computer Vision and AI Systems at Pack-Smart Inc.
February 1, 2025 - PresentRescued a high-risk, stalled AI inspection project by rapidly redesigning and deploying scalable, real-time visual inspection systems for smart manufacturing lines. Integrated PatchCore anomaly detection into production pipelines and served real-time AI inference via FastAPI in a multi-container, GPU-accelerated Docker architecture. Leveraged vector databases for fast nearest-neighbor searches, designed ETL/ELT pipelines for high-volume data, and led collaboration with hardware and engineering teams. Provided technical leadership in AI infrastructure selection, containerization, and cloud strategy, managing Agile cycles and stakeholder alignment to deliver production-ready solutions.
Senior Computer Vision and AI R&D at Numetrix Technologies
July 31, 2024 - August 3, 2025Designed classical vision-based solutions using OpenCV, PIL, NumPy, Scikit-image, and CuPy for surface anomaly detection with high accuracy and throughput. Developed customized filtering, masking, and morphological processing for complex surfaces. Integrated classical machine learning techniques to enhance defect detection and classification systems. Optimized real-time processing leveraging GPU acceleration, led troubleshooting, system validation, and cloud-based deployment on Azure. Collaborated remotely with cross-functional teams during algorithm development and production deployment phases.
Advanced (Staff) Computer Vision and AI R&D – SmartSight Robotics Project at Zebra Technologies
August 31, 2022 - August 3, 2025Promoted from Senior to Advanced Researcher for recognized leadership and cross-functional AI contributions. Designed scalable multi-container architectures for low-latency AI deployments. Led R&D on AI projects including pattern recognition, panorama stitching, and homography vision systems. Applied transfer learning on YOLO models with optimization for GPU inference (TensorRT). Developed 3D computer vision pipelines with classical and deep learning techniques. Customized cloud infrastructure for remote GL-based point cloud rendering and built optimized ETL/ELT pipelines. Provided technical leadership, Agile management, and served as Team Lead and Subject Matter Expert. Inventor on a patented label detection system.
Computer Vision Scientist – AR/VR SLAM Systems at Vrvana (Apple acquisition)
August 31, 2016 - August 3, 2025Developed real-time visual SLAM for the TOTEM HMD, supporting features later integrated into Apple Vision Pro. Built stereo ORB-SLAM with IMU integration, sensor fusion using Kalman filters, and multi-threaded C++ for real-time performance. Integrated AR platforms (Unity with Kudan, Vuforia, ARToolkit). Validated systems on HTC Vive and Oculus DK2.
Post-Doctoral Researcher – 3D Point Cloud Registration at Laval University / Auto21
July 31, 2015 - August 3, 2025Developed 3D point cloud registration pipelines for aligning noisy RGB-D data used in head tracking, pose estimation, and eye tracking under noise and occlusion. Delivered demos showcasing real-time 3D tracking and registration performance.
Lead AI Architect at Synapsis Health AI
August 1, 2024 - PresentLeading the design and development of an AI-powered assistive robot system to support children with Autism and ADHD. Architecting intelligent robotics platforms integrating real-time computer vision, large language models, Retrieval-Augmented Generation (RAG) pipelines, and cloud-assisted AI inference. Developing 3D computer vision pipelines including 3D registration, visual SLAM, and multi-modal perception using classical and deep learning techniques. Building GPU-accelerated pipelines and multi-container orchestration using Docker and FastAPI, supported by CI/CD pipelines. Implementing robust ETL/ELT pipelines for multi-modal user interaction data. Incorporating advanced AI prompting frameworks to enable dynamic reasoning and real-time autonomous actions. Leading robotic frame prototyping, 3D printing, and hardware-software integration.
Lead AI Consultant/Architect – Computer Vision and AI Systems at Pack-Smart Inc.
February 1, 2025 - PresentRescued a stalled $1 million AI inspection project by redesigning and deploying a scalable, real-time visual inspection system for smart manufacturing lines. Integrated PatchCore anomaly detection into optimized production pipelines. Served live AI inference using FastAPI on multi-container, GPU-accelerated Docker architectures. Leveraged vector databases (FAISS) for fast nearest-neighbor searches for real-time defect detection. Built GPU-accelerated pipelines with comprehensive CI/CD workflows for deployment, testing, and integration. Designed ETL/ELT pipelines for high-volume inspection data. Collaborated with hardware, electrical, and mechanical teams for AI system integration. Provided leadership in AI infrastructure selection, containerization, and cloud strategy. Managed Agile cycles, prototyping, and stakeholder alignment for production-ready AI solutions.
Senior Computer Vision and AI R&D at Numetrix Technologies
July 31, 2024 - August 3, 2025Designed and implemented classical vision-based defect detection solutions using OpenCV, PIL, NumPy, and CuPy for high-throughput surface anomaly detection. Developed customized filtering, masking, and morphological operations for complex surface preprocessing. Combined classical machine learning with image processing pipelines for robust defect classification. Optimized real-time processing leveraging GPU acceleration to meet production requirements. Led troubleshooting, system validation, and deployment to Azure cloud environments while collaborating remotely with cross-functional teams.
Advanced (Staff) Computer Vision and AI R&D – SmartSight Robotics Project at Zebra Technologies
August 31, 2022 - August 3, 2025Led AI R&D and cross-functional leadership for Zebra’s SmartSight robotics project. Developed scalable multi-container AI architectures for low-latency production deployments. Led projects in pattern recognition, panorama stitching, and homography-based vision systems. Applied transfer learning, model quantization, pruning, and ONNX conversion for YOLO-based object detection models. Integrated TensorRT for optimized GPU inference. Developed 3D vision pipelines using classical and deep learning methods for point cloud registration. Customized cloud infrastructure for remote 3D rendering and scalable distributed inference. Built ETL/ELT pipelines for high-volume inspection data and managed Agile workflows as Team Lead. Inventor on label detection system patent implemented in high-speed industrial robots.
Post-Doctoral Researcher – 3D Point Cloud Registration at Laval University / Auto21
July 31, 2015 - August 3, 2025Developed pipelines for 3D point cloud registration to align scans with noisy RGB-D data for head tracking, pose estimation, stabilization, and eye tracking. Delivered real-time 3D tracking demos using multi-modal perception under noisy and occluded conditions.
Education
Ph.D. at Université Laval, Canada
September 1, 2009 - November 30, 2014M.Sc. at Sharif University of Technology, Iran
September 1, 2006 - September 30, 2009B.Sc. at Amirkabir University of Technology, Iran
September 1, 2001 - September 30, 2006Ph.D. at Université Laval, Canada
September 1, 2009 - November 30, 2014M.Sc. at Sharif University of Technology, Iran
September 1, 2006 - September 30, 2009B.Sc. at Amirkabir University of Technology, Iran
September 1, 2001 - June 30, 2006Qualifications
Generative Adversarial Networks (GANs), Deep Learning Specialization
January 11, 2030 - August 3, 2025Natural Language Processing Specialization, Deep Learning Specialization
January 11, 2030 - August 3, 2025Leadership Principles (Harvard Business School)
December 1, 2021 - December 31, 2021MBA Essentials (University of Toronto)
October 1, 2022 - October 31, 2022Agile Project Management (Google)
November 1, 2022 - November 30, 2022Project Execution, Running the Project (Google)
March 1, 2023 - March 31, 2023Deep Learning Specialization
November 1, 2018 - November 30, 2018Leadership Principles
December 1, 2021 - December 31, 2021MBA Essentials
October 1, 2022 - October 31, 2022Agile Project Management
November 1, 2022 - November 30, 2022Project Execution, Running the Project
March 1, 2023 - March 31, 2023Deep Learning Specialization
November 1, 2018 - November 30, 2018Generative Adversarial Networks (GANs), Deep Learning Specialization
January 11, 2030 - August 3, 2025Natural Language Processing Specialization, Deep Learning Specialization
January 11, 2030 - August 3, 2025Industry Experience
Software & Internet, Healthcare, Manufacturing, Non-Profit Organization, Computers & Electronics
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