Dev Shah Email & Phone Number

Toronto, ON, CA

Fall 2024 -- CSC236: Introduction to Theory of ComputationAs a teaching assistant for CSC236, I led tutorials, provided personalized academic support, and contributed to the evaluation of coursework. Conducted engaging tutorial sessions, breaking down complex topics such as automata theory, formal languages, and computational complexity to enhance student.

Mentored Grade 6 students as part of a pioneering Ethical AI program, designed to teach skills in AI, Generative AI, app development, and AI-driven innovation. I facilitated a remote, hands-on learning experience, guiding students through weekly projects and capstone work.Supported student learning by leading instructional sessions, assisting with AI.

Designed and implemented an end-to-end machine learning pipeline for real-time fall detection in senior care facilities, improving resident safety and reducing response times. The solution was optimized for production using AWS Lambda, significantly reducing operational costs and ensuring high system reliability.Developed a CNN model to accurately classify.

Engineered and deployed machine learning models for text classification, utilizing natural language processing techniques to optimize email categorization. Leveraged AWS and Amazon SageMaker for model training and deployment, and utilized AWS Powertools and Lambda to streamline the production environment. Performed data pre-processing and advanced.

Toronto, Ontario, Canada

Machine Learning Research at the AI/Data Science x Medical Imaging lab lead by Dr. Pascal Tyrrell. Working on a research project with self-supervised learning; more specifically Contrastive Learning and Multiscale CNNs for diagnosis and feature extraction of Ultrasounds. Implementing model with Tensorflow & successfully implemented and fine-tuned the.

Collaborated closely with Eman Faisel to contribute to her research. I assisted in developing a PointNet Deep Learning model which was used for age classification of human pelvic bones. Worked with 3D data (Point Cloud Data) and performed pre-processing techniques such as data augmentation and normalization to enhance the model's robustness and accuracy. I.

Worked with Dr. Florian Shkurti and Kourosh Darvish to develop a digital twin of a chemistry lab to improve efficiency, safety, and experimental outcomes. Worked with NVIDIA's Omniverse platform to create body assets and robotics equipment in a simulated virtual environment. Specialized in creating dynamic particle and liquid simulations. Also, designed.

Architected a cutting-edge real-time avatar system using NVIDIA Omniverse, integrating OpenAI's GPT API for natural language-driven interactions. Leveraged a robust tech stack, including Python, PyTorch, AWS EC2, gRPC, Hugging Face Transformers, and NVIDIA Audio2Face, to create a state-of-the-art multimodal AI agent.Integrated and fine-tuned a Large.

Collaborated closely with PhotograFIRST, an early-stage start-up, to spearhead the development of a sophisticated machine learning solution tailored to streamline the image culling process for photographers. Employed a range of cutting-edge techniques to create diverse models, including duplicate identification, closed-eye detection, emotion analysis.

Conducted a comprehensive and in-depth market analysis, employing robust research methodologies to examine emerging trends and cutting-edge technologies that bear direct and indirect implications on the trajectory of financial services. The culmination of this effort resulted in the creation of an illuminating and thought-provoking white paper, elucidating.

The Knowledge Society is a human accelerator program for youth. It focuses on innovation, mindsets and emerging technology in order to train youth to become the next big CEOs, masters of emerging technology, and visionaries.