Arvin Tashakori Email & Phone Number

Vancouver, Bc, Ca

Vancouver, British Columbia, Canada

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

Flexible Electronics And Biomedical Multimedia And Signal Processing Lab

- Secure and robust hand object interaction understanding using wearable sensing textile- Personalized body pose estimation using smart knee sleeves- Fair and interpretable federated learning for edge devices.- Modality-aware Large Language Model (LLM) for motion understanding

-Updating UBC Sauder School of Business admission procedure using Natural Language Processing and Computer Vision (OpenCV + customized emotion detection algorithm)

- Developed App Duplication Detection Framework: Architected and implemented a machine learning solution for identifying duplicated applications within the platform, enhancing quality control and operational efficiency.- Data Preprocessing and Analysis: Led the handling of extensive datasets, applying analytical techniques to enable precise duplication detection.- Cross-Functional Collaboration: Collaborated with various teams to ensure seamless integration and alignment with business objectives.- Continuous Optimization: Engaged in ongoing refinement of the detection model, adapting to new trends and technological changes.- Result-Driven Impact: Successfully improved marketplace efficiency and user satisfaction through the strategic deployment of the duplication detection system.

Biomedical Signal and Image Processing Lab Sep 2016- Sep 2018Optical Network Research Laboratory Jul 2013- Sep 2018Microprocessor Research Laboratory Dec 2012 - Jul 2013 and Sep 2013 - Sep 2016

- Architected a Smart Hospital Platform: Designed and developed an intelligent system to minimize nurse errors in emergency scenarios. The platform is currently deployed in 23 hospitals, enhancing patient care and operational efficiency through the integration of advanced algorithms and real-time data analysis.- Innovated Medical Device Implementation: Played a key role in the customization and implementation of a Pulsoximeter and Capnograph using an ARM-based board. These innovations were successfully showcased at the prestigious MEDICA exhibition in Germany, reflecting cutting-edge engineering and design.- Optimized SPO2 Calculation: Leveraged Sparse Fast Fourier Transform (Sparse FFT) to reduce the calculation time of SPO2 in the Pulsoximeter. This optimization led to more timely and accurate readings, contributing to improved patient monitoring and care.- Collaborative Leadership: Worked closely with cross-functional teams, including hardware engineers, medical professionals, and product managers. Guided the project from concept to completion, ensuring alignment with clinical requirements and technological best practices.- Impact and Recognition: The successful development and implementation of these projects have contributed to significant advancements in medical technology and patient care. The achievements reflect a commitment to innovation, quality, and collaboration, hallmarks of professional excellence in software engineering.

-Sparse convex optimization for deep learning

London, England, United Kingdom

Designed a platform for modeling and predicting the Iranian stocks using Recursive Neural Networks (LSTM)

- Created a Specialized Medical Connection Platform: Designed and launched "alodoctor," a unique website aimed at connecting medical specialists with patients. This platform emphasizes personalized guidance, particularly focusing on specific health concerns such as STDs, providing confidential consultations and expert care.- Enhanced Public Healthcare Knowledge: Took proactive measures to elevate public understanding of healthcare by publishing articles on common health topics. These carefully curated and scientifically-backed articles have become a reliable source of information for the community, fostering a more informed and health-conscious public.- Strategically Aligned with Healthcare Professionals: Collaborated with a diverse array of medical experts to ensure that the platform's content and consultation services met the highest standards of medical accuracy and ethical conduct.- Pioneered Digital Healthcare Access: By leveraging technology to bridge the gap between medical professionals and patients in need, the platform has emerged as an innovative solution in healthcare accessibility. It facilitates timely advice and support, contributing to improved health outcomes.- Social Impact and Recognition: The successful development and growth of "alodoctor" have not only transformed the way patients interact with healthcare specialists but also significantly contributed to public health education. The platform's achievements reflect a strong commitment to innovation, empathy, and social responsibility.

Doctor Of Philosophy - Phd, Electrical And Computer Engineering - Machine Learning

Thesis: Secure and Scalable Human Motion Understanding Using Machine Learning-Powered Smart Sensing Textile Research Areas: - 3D Computer.

Master Of Science - Ms, Electrical And Computer Engineering - Machine Learning

Thesis: Boosting-based Transfer Learning for Brain-Computer Interfaces Best M.Sc. Thesis Award

Bachelor Of Science - Bs, Computer Science

Thesis: Security Analysis of a Decentralized Electronic Voting Protocol in the Universal Composability Framework

Bachelor Of Science - Bs, Electrical And Computer Engineering

Thesis: Efficient FPGA and CUDA Implementation of Generalized Sparse FFT Best B.Sc. Thesis Award