University of Toronto

Honours B.Sc. in (Co-op) Computer Science and Neuroscience – cGPA: 4.0/4.0
Teaching Assistant: Discrete Mathematics

International Biology Olympiad Silver Medal

Achieved Silver Medal among 300 students from 72 countries in the world's most prominent biology competition.

Founder & Lead | Google Developer Student Club (GDSC)

• Selected by Google to lead student growth in tech, foster unity, and drive community impact through solving real-world problems.
• Established a network of GDSC Leads across Canada's top universities to organize the largest Generative AI Hackathon in Canada.

Machine Learning Researcher

Transformer-Based Codon Optimization for Biotech Industry

• Saved thousands of dollars and increased production efficiency by 33% in the biotech industry by employing Transformers with PyTorch and Hugging Face to pioneer a novel approach for codon optimization.

• Accelerated research progress by processing large-scale datasets using Bioinformatics Databases, Bash scripting, and Pandas.

• Spearheaded an international collaboration under Professor Filion (Canada) & Dr. Pandi (France), showcasing strong research, teamwork, and communication skills, while leading to the imminent publication of innovative findings.

Computer Vision Researcher

Decoding Brain Activity Images to Body Movements

• Showcased a unique application of machine translation, and unlocked novel insights for bran-machine interfaces, by developing a Transformer-based NLP model to translate brain activity to body movements in Zebrafish.

• Leveraged PyTorch Lightning and OpenCV to develop an image autoencoder based on Residual Networks and Convolutional Neural Networks, achieving a 92% compression ratio on brain activity images, and saving terabytes of disk space.

Titanic: Novel Deep Learning Approach

• Implemented a deep neural network using TensorFlow & Keras, achieving near 80% accuracy in predicting Titanic survival.

• Created an open-source Kaggle notebook on the Titanic Competition, leveraging Matplotlib for visualizing patterns, and Scikit-Learn & Pandas for data processing, helping almost 300 Kagglers worldwide hone fundamental skills in data analysis.

Vector Institute’s Cyclops: Stroke Prediction

• Enhanced the Cyclops open-source AI software by enabling seamless deployment on Kaggle Notebooks.

• Achieved 90% accuracy on Stroke Prediction dataset, leveraging Cyclops, Scikit-Learn & Pandas to analyze data and tune deep learning algorithms, empowering over 1000 Kagglers worldwide to use Cyclops for tackling healthcare challenges.

SocialSpectrum

• Leveraged Python, Flask, HTML, and CSS to build the back-end & front-end of an educational, AI-powered website, designed to enhance the social and communication skills of thousands of individuals with Autism Spectrum Disorder (ASD).

• Utilized Google Cloud Platform (GCP) and OpenAI's API (GPT-3.5) to achieve human-level content creation and a chatbot mentor.

Blink: Empowering The Visually Impaired

• Leveraged Python and Flask to build the AI mobile app's back-end, which auditory describes any user-taken images, revolutionizing the way millions of visually impaired individuals "see" and interact with their surroundings.

• Integrated an AI agent to answer follow-up questions, OpenAI's API for speech recognition, and Mini-GPT4 for image description.

CoDY: The AI Therapist

• Integrated Cohere's Classify, Embed, and Generate models to create an AI therapist proficient in understanding emotions and simulating empathetic conversations, resulting in 87% user satisfaction rate, and estimated 33% surge in emotional support.

• Enhanced sentiment classification by 23% through processing and fine-tuning over a dataset of 500,000 sentence-emotion pairs.

MyCademy

• Led a high-performing team to successfully develop MyCademy, a learning platform integrating Generative AI such as ChatGPT & DALL-E-2 to create personalized webpage articles based on users' unique needs & interests.

• Fostered a collaborative environment, driving open communication and idea sharing, leading to innovative solutions and a positive team dynamic for the learning platform.

Deep Learning Specialization

• 5-Courses Specialization on Natural Language Processing (NLP), Ensembles, Computer Vision (Object Detection, Face Recognition), and Strategic Project Management using TensorFlow & Keras.

Machine Learning Specialization

• 3-Courses Specialization of Supervised and Unsupervised Learning, Advanced Algorithms (Neural Networks, Random Forests, XGBoost), & Reinforcement Learning.

Languages

Python | Java | SQL | C | HTML | CSS

Machine Learning

Frameworks

Tools & Cloud