Dev Shah

Dev Shah Email and Phone Number

Teaching Assistant @ University of Toronto Mississauga
Toronto, ON, CA
Dev Shah's Location
Greater Toronto Area, Canada, Canada
Dev Shah's Contact Details

Dev Shah work email

Dev Shah personal email

n/a
About Dev Shah

Hey there I'm Dev 👋,I spent a lot of my time growing up tinkering things, breaking them down, and building them back up; something which fuelled my interest in Computer Science and Software Engineering. Currently, I'm a Sophomore student at the University of Toronto, where I'm majoring in Computer Science and Information Security.I spend most of my time building in Machine Learning and re-implementing many of these infamous algorithms from scratch. I love everything related to ML and am always open to chat about ML or anything at all. For the last couple years, I've spent time in couple Machine Learning labs contributing to research in both Reinforcement Learning & Computer Vision. Interned at a conversational AI company where I built an LLM driven avatar to improve the automated customer service experience.If you want to stay in touch:- i write bi-monthly newsletters here: https://devshah.substack.com/- i write about interesting advancements in machine learning here: https://medium.com/@devshahs

Dev Shah's Current Company Details
University of Toronto Mississauga

University Of Toronto Mississauga

View
Teaching Assistant
Toronto, ON, CA
Website:
utm.utoronto.ca
Employees:
1806
Dev Shah Work Experience Details
  • University Of Toronto Mississauga
    Teaching Assistant
    University Of Toronto Mississauga
    Toronto, On, Ca
  • University Of Toronto Mississauga
    Teaching Assistant
    University Of Toronto Mississauga Sep 2024 - Present
    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 comprehension. Offered one-on-one assistance during office hours, helping students tackle challenging problems and deepen their understanding of course material. Assessed and graded assignments and exams, ensuring consistency and fostering a clear understanding of theoretical concepts.
  • Surestart
    Ai & Machine Learning Mentor
    Surestart Aug 2024 - Present
    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 ethics, app development, and coding projects. Collaborated with a team of mentors and Harvard Teaching Fellows to deliver engaging lessons and ensure students gained practical AI knowledge. Helped students build real-world applications using MIT's AppInventor, focusing on ethical AI principles and entrepreneurship.
  • Fallyx
    Software & Machine Learning Engineer
    Fallyx May 2024 - Present
    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 falls using 6-axis sensor data. Created a hybrid Conv1D-LSTM model for time series analysis, incorporating advanced data augmentation to enhance model robustness and generalization. Led model deployment using Termius and EC2, while developing an auto-labeling pipeline to streamline the data processing workflow.
  • Immigration, Refugees And Citizenship Canada / Immigration, Réfugiés Et Citoyenneté Canada
    Junior Data Scientist
    Immigration, Refugees And Citizenship Canada / Immigration, Réfugiés Et Citoyenneté Canada Apr 2024 - Present
    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 exploratory data analysis (EDA) to enhance feature selection, boosting model accuracy. Integrated the machine learning solution into existing systems, reducing manual email processing time and improving operational efficiency.
  • University Of Toronto
    Machine Learning Researcher
    University Of Toronto Aug 2022 - Present
    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 model, incorporating advanced algorithms such as the Gaussian Pyramid and Encoder models. Regularly documented project progress through weekly meetings with the supervisor, ensuring effective communication and alignment of objectives.
  • University Of Toronto Mississauga
    Machine Learning Research Assistant
    University Of Toronto Mississauga Jan 2024 - Apr 2024
    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 also worked with optimizing hyperparameters through rigorous experimentation to fine-tune the PointNet model architecture. Increased the accuracy from 25-30% to 95%+.
  • Robot Vision And Learning Lab @ Uoft
    Undergraduate Researcher
    Robot Vision And Learning Lab @ Uoft Aug 2023 - Nov 2023
    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 and optimized rigid body assets, ensuring that the virtual lab mirrored the physical lab's equipment and structures with precision.
  • Interactions Llc
    Machine Learning Engineer Intern
    Interactions Llc May 2023 - Sep 2023
    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 Language Model (LLM) to optimize customer service in installation processes, reducing ticket escalations and shortening installation times.Focused on enhancing the system's ability to handle complex customer queries through advanced NLP techniques, significantly improving user experience and operational efficiency.
  • Photoml
    Machine Learning Developer
    Photoml Jan 2023 - Aug 2023
    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, neural style recognition, and semantic classification. Employing PyTorch, successfully engineered these comprehensive models and rigorously validated and trained them using an extensive dataset.
  • Interac Corp.
    Research/Foresight Intern
    Interac Corp. Jul 2022 - Aug 2022
    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 potential of AI/ML in Fintech. Presented the findings of the white paper to internal team leaders.
  • The Knowledge Society (Tks)
    Innovator
    The Knowledge Society (Tks) Sep 2021 - Jun 2022
    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.

Dev Shah Education Details

Frequently Asked Questions about Dev Shah

What company does Dev Shah work for?

Dev Shah works for University Of Toronto Mississauga

What is Dev Shah's role at the current company?

Dev Shah's current role is Teaching Assistant.

What is Dev Shah's email address?

Dev Shah's email address is de****@****coda.io

What schools did Dev Shah attend?

Dev Shah attended University Of Toronto.

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