I am a Machine Learning & Computer Vision Engineer with hands-on experience building detection and analysis pipelines for technical drawings, signage, and structured visual patterns, including template matching, YOLO-based detectors, and classical CV methods. I enjoy turning noisy, real-world image data into reliable AI features and collaborating with cross-functional teams to deploy production-ready computer vision systems. I am a strong Python developer proficient with OpenCV, scikit-image, and PyTorch, designing end-to-end ML pipelines—from dataset preparation and model training to testing, deployment on edge devices (e.g., NVIDIA Jetson), and cloud orchestration. I am passionate about applying AI to real-world challenges, focusing on reliability, scalability, and performance.

Parnia Haji Faraji

I am a Machine Learning & Computer Vision Engineer with hands-on experience building detection and analysis pipelines for technical drawings, signage, and structured visual patterns, including template matching, YOLO-based detectors, and classical CV methods. I enjoy turning noisy, real-world image data into reliable AI features and collaborating with cross-functional teams to deploy production-ready computer vision systems. I am a strong Python developer proficient with OpenCV, scikit-image, and PyTorch, designing end-to-end ML pipelines—from dataset preparation and model training to testing, deployment on edge devices (e.g., NVIDIA Jetson), and cloud orchestration. I am passionate about applying AI to real-world challenges, focusing on reliability, scalability, and performance.

Available to hire

I am a Machine Learning & Computer Vision Engineer with hands-on experience building detection and analysis pipelines for technical drawings, signage, and structured visual patterns, including template matching, YOLO-based detectors, and classical CV methods. I enjoy turning noisy, real-world image data into reliable AI features and collaborating with cross-functional teams to deploy production-ready computer vision systems.

I am a strong Python developer proficient with OpenCV, scikit-image, and PyTorch, designing end-to-end ML pipelines—from dataset preparation and model training to testing, deployment on edge devices (e.g., NVIDIA Jetson), and cloud orchestration. I am passionate about applying AI to real-world challenges, focusing on reliability, scalability, and performance.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Advanced

Work Experience

Machine Learning Engineer at Robotic Assistance Devices
February 1, 2024 - November 24, 2025
Design and implement computer vision and deep learning solutions for real-time video analytics, including object detection, tracking, and visual understanding. Develop and deploy end-to-end ML pipelines, from dataset preparation and model training to testing, optimization, and deployment on edge devices (e.g., NVIDIA Jetsons). Build and maintain scalable APIs and services for inference, monitoring, and logging using FastAPI and modern MLOps practices. Utilize cloud infrastructure (AWS, Azure) for training, containerization, and model orchestration. Collaborate with backend and frontend teams to integrate AI features into production environments and ensure seamless cross-system functionality. Research and evaluate emerging AI models and frameworks to enhance system performance, efficiency, and scalability.
Research Assistant at Digital Multimedia Lab, University of British Columbia
December 1, 2023 - December 1, 2023
Conducted research on parking sign detection and recognition using deep learning methods (YOLOv4, YOLOX, YOLOv7, DETR, Faster-RCNN, and Swin Transformers). Prepared datasets through data collection, annotation, and augmentation. Applied image preprocessing algorithms for enhancement and feature extraction. Implemented text detection and classification techniques using OCR.
Intern at Iran Telecommunication Research Center
August 1, 2019 - August 1, 2019
Implemented methods to identify influential users in the Twitter social network. Designed a web service using HTML and CSS.

Education

Master of Applied Science in Electrical and Computer Engineering at University of British Columbia
January 1, 2021 - October 1, 2023
Bachelor of Science in Electrical Engineering at Amirkabir University of Technology
September 1, 2016 - September 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Media & Entertainment, Professional Services, Education, Other