Arvin Tashakori
Tech Lead Software Engineering and Machine Learning @Texavie
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WORK HISTORY
Tech Lead Software Engineering and Machine Learning @Texavie
Vancouver, BC, CA
Tech Lead of a talented team of Software and Machine Learning engineers, and Applied Scientists driving innovation across various domains:Cloud Services- Overseeing the management and integration of cloud services for a diverse range of products.Mobile and Web Development- Leading the development of iOS and Android mobile apps and web applications, focusing on telehealth solutions.Web3 and Blockchain Technology- Involved in the creation and implementation of blockchain-based solutions.Game Development and Virtual Reality- Developing therapeutic games and immersive experiences using industry-leading engines.Machine Learning and Computer Vision- Utilizing state-of-the-art techniques for motion analysis, activity recognition, and more.Firmware Development- Managing the development of firmware for various products.Natural Language Processing:Working on recommendation systems leveraging cutting-edge Large Language Models, as well as text-to-motion modelsFederated Learning- Focusing on secure and scalable training procedures, ensuring data privacy and fairness.Collaboration and Reporting- Executed cutting-edge research in text-to-motion generation and motion analysis, culminating in multiple successful grants, patents, and technical papers- Closely reporting to CEO & CTO, and collaborating with Lead engineers with diverse backgrounds- Managed hiring processes and played a pivotal role in strategic decision-making and reporting- Implemented Agile and Scrum methodologies to streamline project management, resulting in a 30% increase in development efficiency and improved team collaboration- Oversaw the adoption of CI/CD pipelines for efficient, reliable, and automated code deployment, significantly reducing release cycles and enhancing product quality- Enhanced system scalability and performance by optimizing cloud infrastructure and introducing load balancing and auto-scaling techniques, ensuring robustness under peak traffic conditions
EDUCATION
Sharif University of Technology
Master of Science - MS
The University of British Columbia
Doctor of Philosophy - PhD
Sharif University of Technology
Bachelor of Science - BS
Sharif University of Technology
Bachelor of Science - BS
ABOUT ARVIN TASHAKORI
As an accomplished Lead of Software and Machine Learning at Texavie, an innovative leader in intelligent clothing, I bring over a decade of experience from both the tech industry and academia. Holding a PhD from the University of British Columbia, my career is marked by a steadfast commitment to solving complex problems and delivering tangible results in high-stakes projects.My expertise spans a wide array of fields, including Computer Vision, Robotics, Wearable Electronics, Deep Learning, Natural Language Processing, large language models, Generative AI, Secure and Trustworthy AI, and emerging technologies like Web3. I am particularly adept in the realms of Software, Firmware, and Hardware Development, with a strong focus on Wearables, Edge Computing, Consumer Electronics, and the Internet of Things, especially in the Digital Health sector.A master in Generative AI models, Signal Processing, Game Theory, NLP, Federated Learning, Web3, and Convex Optimization, I am equally proficient in diverse software technologies. This includes Full-Stack Development, Mobile App Development, Cloud Services, FPGA/ASIC/Firmware Development, and Hardware Design.My doctoral research, guided by Prof. Peyman Servati and Prof. Z Jane Wang, centers on the Secure, Fair, and Robust Understanding of Human Interaction across various modalities. This work has garnered over 260 citations and has been featured in Science Robotics and notable media outlets such as CTV News, CTV News Morning Live, NS News, UBC News, CHNL News, Physics World, Virgin Radio, CKNW Jill Bennett, Science Daily, Interesting Engineering, Tech Times, reflecting my ability to model intricate problems and develop scalable solutions.This interdisciplinary approach seamlessly integrates Computer Graphics, Computer Vision, Federated Learning, Trustworthy AI, Generative AI, LLMs, and advanced Software and Firmware/Hardware Development methodologies.This unique blend of skills and experiences has led to the development of multiple provincial and PCT patents and has been recognized in prestigious AI journals and conferences such as Nature Machine Intelligence, IoT Journal, Transactions on Neural Networks and Learning Systems, NIPS, CVPR, BMES, and SPIE.As a leader, I am known for my adaptability and effectiveness in fostering a culture of collaboration and innovation, earning the trust and recognition of senior leadership and stakeholders. My career is a testament to my dedication to pushing the boundaries of technology and making significant contributions to the field of AI and digital health.
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