I’m Arvin Tashakori, a Senior Applied Research Scientist, Engineer, and Technical Leader based in Vancouver, Canada, currently working at Koh Young Research Canada. I specialize in Artificial Intelligence, Computer Vision, Robotics, Medical Imaging, Wearable Electronics, Multimodal AI, and Generative AI systems.

With over 10 years of experience across industry and academia, I have led multidisciplinary teams and built scalable AI-powered products spanning healthcare, robotics, IoT, Web3, and cloud platforms.

• 🔬 Senior Applied Research Scientist, Computer Vision & Robotics at Koh Young Research Canada, developing AI-powered medical robotic systems and advanced 3D vision solutions.
• 📈 Former Tech Lead for Software Engineering and Machine Learning at Texavie Technologies Inc., Vancouver, BC, Canada.
• 🎓 Postdoctoral Researcher at Stanford University focused on Personalized Multimodal AI-powered wearable systems for musculoskeletal health.
• 🎓 Ph.D. in Electrical and Computer Engineering from the University of British Columbia.
• 🎓 Double-major graduate in Electrical Engineering and Computer Science from Sharif University of Technology.
• ⚙️ Passionate about building state-of-the-art AI products and scalable software systems from scratch.
• 🚀 Experienced in leading engineering teams, strategic planning, software product management, and deploying production-ready AI systems.

• Computer Vision
• Medical Imaging
• Deep Learning
• Generative AI
• Large Language Models (LLMs)
• Vision Language Models (VLMs)
• Natural Language Processing (NLP)
• Federated Learning
• Reinforcement Learning
• Secure & Trustworthy AI
• Signal Processing
• Convex Optimization
• Multimodal Learning
• Human Motion Understanding
• Wearable AI Systems

• Full Stack Web Development
• Mobile Development (iOS & Android)
• Cloud Infrastructure & Distributed Systems
• MLOps & LLMOps
• CI/CD & DevOps
• Edge Computing
• High-performance Computing
• CUDA & GPU Programming
• Robotics & Real-time Systems

• FPGA / ASIC Development
• Firmware Development
• Embedded AI Systems
• Hardware Design
• IoT & Wearable Electronics

Koh Young Research Canada — Burnaby, BC, Canada
Jan 2025 – Present

• Developing state-of-the-art computer vision and deep learning algorithms for AI-powered medical robotic systems.
• Designing scalable 3D vision and image processing pipelines for autonomous robotic applications.
• Building end-to-end AI systems integrating medical imaging, robotics, and real-time inference.
• Solving complex problems across computer vision, image processing, robotics, and AI deployment.

Texavie Technologies Inc. — Vancouver, BC, Canada
Jan 2019 – Dec 2024

• Led teams of software engineers, ML engineers, and applied scientists.
• Architected scalable cloud and AI infrastructure using AWS, Azure, GCP, Kubernetes, and Firebase.
• Built mobile, web, and desktop applications for digital health and wearable AI systems.
• Developed multimodal AI systems using smart textiles, EMG sensors, cameras, and wearable devices.
• Built motion-to-text generation systems using Transformers, Diffusion Models, and RAG pipelines.
• Led implementation of MLOps, LLMOps, CI/CD, and deployment pipelines.

My research focuses on:

• AI-powered wearable electronics
• Human motion understanding
• Federated learning
• Multimodal machine learning
• Medical robotics
• Computer vision for healthcare
• Generative AI systems

• Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves — Nature Machine Intelligence
• SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence — IEEE IoT Journal
• H2Fed: Dual-Heterogeneity-Considered Federated Human Activity Recognition — Neurocomputing
• Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile — NeurIPS

• 🌍 Featured by Nature, Science Robotics, Physics World, CTV News, UBC News, Science Daily, and other major media outlets.
• 🏆 Finalist for Apple Scholars in AI/ML (Health AI).
• 🎓 Recipient of multiple UBC Presidential Scholar Awards and Top International Student Awards.
• 🥇 Ranked among the top participants in national mathematics, programming, and university entrance competitions.
• 🧠 Reviewer for CVPR and multiple IEEE journals.

Python C++ C C# Java JavaScript Swift Dart Solidity MATLAB Verilog VHDL

PyTorch TensorFlow Keras OpenCV Scikit-Learn Hugging Face XGBoost LightGBM CatBoost

AWS Azure Google Cloud Docker Kubernetes CI/CD GitHub Actions Kafka Spark

React Vue.js Node.js FastAPI Flask Django Swift Flutter

CUDA Unity Unreal Engine OptiTrack OpenSim

• Stretchable Multimodal Smart Textile Apparel and Machine Learning for Accurate and Dynamic Movement, Strength, and Health Tracking — US Patent Application
• Asynchronous Fragmented OFDM-CDMA Cognitive Radio LAN
• Underwater Optical CDMA LAN

Outside of engineering and research, I enjoy:

• 🎹 Playing piano
• 🇫🇷 Learning French
• 📷 Amateur photography
• 🥾 Hiking
• 🍳 Cooking
• 🌍 Traveling
• 🤝 Spending time with friends and family

• 🌐 Personal Website: https://arvintashakori.com
• 📚 Google Scholar: https://scholar.google.com/citations?user=8pFUPnQAAAAJ&hl=en
• 💼 LinkedIn: https://www.linkedin.com/in/realrvn/
• 📄 CV: https://arvintashakori.github.io/cv/

📫 Reach me at: arvin [at] arvintashakori [dot] com

Building intelligent systems that bridge AI research and real-world impact.