Hello, My name is

Dev Shah

Computer Science Student @ University of Toronto

Nice To Meet You

Hey, I'm Dev Shah

Hey, I'm Dev Shah and I'm a 19 year old Machine Learning researcher based in Toronto. I’m currently a ML researcher working in Medical Imaging x AI lab under Dr. Tyrrell; looking to integrate Artificial Intelligence into a clinical setting to improve the diagnosis process. I’m also studying Computer Science at the University of Toronto. My ultimate aspiration is to make a significant and lasting positive impact on the world, with the hope of touching the lives of billions. While I acknowledge that achieving this goal may be a long and challenging journey, it is one that I am wholeheartedly committed to pursuing. Check out my portfolio and skills below! I will be posting updates on my website and throughout my newsletters, make sure to subscribe below! Stay tuned :)



    Data Analysis, Software Development, Object-Oriented Programming, Mathematics, Data Structures & Algorithms


    Exponential Technologies, Real-World Skills, People & Leadership, Character & Mindset, Consulting & Advisory, Artificial Intelligence


    Critical Thinking, Complex Problem Solver, Engaging Global Challenges


  • Machine Learning Engineer -- Interactions LLC.

    Created a LLM driven avatar using NVIDIA’s Omniverse platform and Audio2Face interface for enhancing customer service. Leveraged a tech stack including Python, PyTorch, AWS, Docker, GRPC, Hugging Face, and NVIDIA Audio2Face.

  • Machine Learning Researcher -- University of Toronto

    Developing a massive machine learning model with contrastive learning for feature extraction and diagnosis of knee ultrasounds.

  • Research Intern -- Interac

    Sensing the market through solid research and analysis of trends and technologies that could directly and indirectly, impact the future of financial services.


  • Data Analysis

    Ability to analyze and interpret complex data

  • Software Development

    Proficient in developing software using various programming languages and tools

  • Object-Oriented Programming

    Strong understanding of object-oriented programming concepts and design patterns

  • Mathematics

    Strong mathematical skills including calculus, linear algebra, and statistics


  • Programming Languages

    Python, Java, JavaScript, C++, HTML/CSS, SQL

  • Applied Machine Learning

    Random Forest, XGBoost, Decision Tree, Fast Fourier Algorithm, Tensorflow, pandas, NumPy, Matplotlib, NLTK, SciKit, SkLearn

  • Machine Learning Frameworks

    UNET, Neural Networks (CNN, RNN), Natural Language Processing, Transformers, LLMs

  • Tools

    Git, Tensorflow, VS Code, Visual Studio, PyCharm, Jupyter Notebook, Google Colab, Power Bi

Featured Projects.

Featured Project 1

LLM Driven Avatar

Developed a LLM driven avatar using NVIDIA’s Omniverse platform and Audio2Face interface, integrating cutting-edge Machine Learning libraries. This solution significantly improved installation-related customer service, resulting in a 47% reduction in support ticket escalation and a 32% decrease in installation process duration. Leveraged a tech stack including Python, PyTorch, AWS, Docker, GRPC, Hugging Face, and NVIDIA Audio2Face to create a state-of-the-art avatar for enhancing customer service. Successfully delivered a robust system that demonstrated its efficiency by achieving a 92% customer satisfaction rate based on post-implementation surveys.

Featured Project 2

EyeSpy; multimodal AI-model to help the visually impaired.

Developed a multi-model AI system to help the visually impaired navigate through crowded spaces. The program uses the user’s iPhone camera (ideally, this would be a set of glasses with a camera for ease of use) to scan their surroundings; sampling images every couple of seconds and passing them to the Detectron2 model. This model analyzes the image, performs object detection, and creates bounding boxes of the objects near the visually impaired individual. The bounding boxes are processed in the backend and converted into simple English descriptions (i.e. there is a chair on the left) by splitting the image into a grid with 5x5 pixel boxes. This English description is fed to Cohere’s LLM and the model provides an in-depth description of how to navigate/proceed forward. This description is fed to the individual in an audio format using Whisper from OpenAI.


Recent Work

why has GPT-4’s accuracy been declining so much!?

Understanding why GPT's accuracy has been declining and what this means for the future of LLMs.

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breaking down Vision Transformers

An article going over vision transformers and how to implement them in Python.

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Expressing Neural Networks as Decision Trees

Understanding how neural networks can be expressed as decision trees.

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Breaking Down the Forward-Forward Algorithm

Understanding how back-propagation can be replaced by the Forward-Forward algorithm.

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Breaking Down Natural Language Processing

An article that goes over the Natural Language Processing pipeline and how it works.

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Understanding Federated Learning; Decentralized ML

An article that breaks down the future of Federated Learning and how it works.

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Check out all my projects

Professional Work

Consulting Experience

Accelerating Profitability for Kidogo

Making Early Childhood Development Profitable.

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Strategic Consulting for Sidewalk Labs

Reducing the Cost of Housing in Toronto.

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Adapting to Consumer of 2030 with IKEA

Increasing IKEA's market share by adapting to the consumer of 2030.

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Previous Projects

Project Websites

Off-Wind Energy

Energizing Society Using 4D Printed Wind Turbines

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Mamita Health

Rethinking Remote Healthcare For Mothers

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Reducing Emissions and Increasing Crop Yields by Saving Resources

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Life Updates

Bi-Monthly Newsletters

July & August 2023

Bi-Monthly Updates - #17

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September & October 2023

Bi-Monthly Updates - #18

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November & December 2023

Bi-Monthly Updates - #19

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