ML Research Engineer Intern

SmartMate, London, UK

Jun. 2024 -- Sept. 2024

  • Revamped the implementations of 30+ research papers for American Sign Language (ASL) detection, utilizing a range of architectures in PyTorch including 3DCNNs, Bi-directional LSTMs, and Encoder-Decoder Transformers.
  • Developed a computer vision model using OpenCV and PyTorch to translate ASL to English captions, achieving a maximum accuracy of 84% over the testing dataset.
  • Authored a comprehensive research paper detailing the end-to-end implementation of the ASL translation model, facilitating future research and development.

Full Stack Engineer Intern

ML4U, Amsterdam, NL

Jun. 2024 -- Sept. 2024

  • Prototyped a sentiment analysis model using a Decoder-Only Transformer architecture with PyTorch, spaCy, and NLTK, resulting in an 87% testing accuracy on 100+ company review datasets.
  • Developed an ML model API using Django for the backend server and PostgreSQL for the database, enabling concurrent storage of 10,000+ customer sentiments.
  • Integrated Django with a React frontend, transitioning from server-side rendering with HTML templates to client-side rendering, reducing server response times by 40%.

Undergraduate Research Assistant

University of Toronto, Toronto, ON

Jun. 2024 -- Sept. 2024

  • Enhanced the ECE353 (Systems Software) teaching resources for over 60+ students by developing a basic shell program in C to interact with the Linux kernel.
  • Implemented 3+ shell features from the MIT xv6 operating system shell, creating functionalities from scratch using the GNU C library, establishing a practical teaching resource for students.
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