💫 About Me:

🎓 4th Year CS Specialist & Statistics Minor @ University of Toronto, Canada
🔍 Actively looking for Full-Time New Grad 2025 SWE Roles

💻 Tech Stack:

Languages:

Frameworks/Tools:

💼 Work Experience:

Machine Learning Software Engineer (Co-op)

Noah’s Ark Lab - Huawei Technologies | May 2024 - Present | Toronto, Canada

• Built and trained a U-Net model to correct images for viewer eye prescriptions with an 80% success rate.
• Integrated Gaussian decomposition to enhance real-time object deletion with over 95% precision.
• Optimized the 3D Gaussian Splatting pipeline, reducing deployment image size from 131GB to 21GB using Docker.

Software Engineer (Part-time)

Urban Data Centre, University of Toronto | September 2023 - April 2024 | Toronto, Canada

• Developed a Named Entity Recognition system achieving 91% accuracy for text classification using NLTK and graph traversal.
• Wrote an academic report summarizing related work, experiment results, and recommendations, while tuning parameters with scikit-learn.

Full-Stack Developer (Co-op)

Royal Bank of Canada | May 2023 - August 2023 | Toronto, Canada

• Built cloud-based microservices using Spring Boot and REST APIs to support RBC’s MyAdvisor platform, improving user experience for members with multiple plans.
• Enhanced front-end UX for beneficiary management by designing responsive web pages using Angular, reducing friction points by 16%.
• Led intern onboarding by creating a comprehensive software installation guide, shortening setup time.

🎓 Education:

University of Toronto - St. George Campus
HBSc - Computer Science Specialist (Focus in Artificial Intelligence) & Statistics Minor

📅 September 2021 - June 2025

Highlights:

• Arts and Science Internship Program (PEY/Co-op); 3x Dean's List Scholar; UofT International Scholar
• Relevant Coursework: Software Engineering, Deep Learning, Data Structures & Algorithms, Web Programming, Databases, Computer Networks, Computer Vision, Operating Systems, Probability, Statistics & Data Analysis

📂 Projects

PetPal: Connecting Pets with Adopters

Feb 2024 - Apr 2024
Led a team to build a full-stack web app connecting pets with adopters. Developed a React frontend, Django REST APIs, and used SQLite for data persistence. Achieved 80% test coverage through unit testing.

Tech: Django, React, Postman, Heroku, SQLite
GitHub - JanelGilani/petpal-project

Voter Turnout in Toronto Wards

Apr 2024
Analyzed socio-economic and demographic factors impacting voter turnout in the 2022 Toronto Municipal Election using Bayesian methods on Open Data Toronto.

Tech: R, Bayesian Analysis, Regression Models
PDF - toronto_voter_turnout.pdf

Student Performance Predictor

Sep 2023 - Dec 2023
Built a machine learning model achieving 88% accuracy in predicting student answers on diagnostic questions. Improved performance by 10% using ensemble methods.

Tech: PyTorch, NumPy, Matplotlib, scikit-learn
GitHub - JanelGilani/predicting-student-performance-using-machine-learning

BudgetBites: Find Budget-Friendly Food at UTSG

Oct 2022 - Dec 2022
Developed a UofT app for finding budget-friendly food on campus. Integrated a budget-tracking system for real-time spending management.

Tech: Java, MongoDB, Java Swing, Git
GitHub - JanelGilani/budgetbites

Self-Learning Minichess AI

Jan 2022 - Feb 2022
Developed Minichess with recursive algorithms and a weighted decision tree for AI player optimization. Validated success across 1,000+ trials.

Tech: Python, Pygame, Plotly

Hobbies During COVID-19: A Sentiment and Statistical Analysis

Oct 2021 - Dec 2021
Created a survey to analyze hobby trends before and during COVID-19. Applied lexicon analysis and visualized findings using bar and bubble charts.

Tech: Python, Tkinter, VADER Lexicon, CSV, pandas, Plotly
GitHub - JanelGilani/Hobbies-During-COVID-19-Pandemic_A-Sentiment-and-Statistical-Comparative-Analysis

🌐 Socials: