University of Toronto

Bachelors in Computer Science Specialist (Co-op) | Software Engineering Stream

Lester B. Pearson Scholar

Full-ride scholarship award for top 37 international students globally valued at approx. $350,000

École Polytechnique Fédérale de Lausanne (EPFL)

Bachelors in Computer Science — Exchange Semester

Languages

Python | C | C++ | C# | Java | JavaScript | TypeScript | SQL

Frameworks/Libraries

Node.js | React.js | OpenCV | TensorFlow | ROS2 | Assembly | Django

Tools/Networking

PostgreSQL | Docker | Linux | GIT | Android Studio | Azure (AZ-900, AI-900, DP-900)

Software Developer Intern

Dayforce, Inc. (formerly Ceridian)

• Developed and optimized core APIs, services, and libraries using C# and Kafka, enhancing overall system efficiency by 30% and ensuring seamless integration across the Dayforce platform.

• Designed and implemented an event-driven framework, reducing database load by 40% and improving real-time data processing for 25+ feature teams.

• Conducted comprehensive performance testing, successfully handling over 10,000 events published per day and ensuring efficient operation under high traffic scenarios.

• Improved a multilayer framework architecture by debugging and optimizing components, reducing debugging time by 25% and enhancing code quality for better maintainability and scalability.

Team Lead — Graphical User Interface

aUToronto (UofT Self-Driving Car Team)

• Implemented a touchscreen interface to adjust car’s GPS offset and reconfigure settings, monitor GPS status etc. during the competition run to ensure compliance with Autodrive requirements and reducing setup time by 25%.

• Collaborated with the vehicle interface and perception teams, to process and display crucial ROS messages, delivering critical car information on the display and improving data accessibility by 40%.

Software Engineer Intern

Toronto Dominion (TD) Bank Group

• Optimized database infrastructure by implementing Docker containerization for PostgreSQL on RHEL8, resulting in a 25% decrease in deployment issues.

• Implemented an efficient caching layer using Redis, significantly reducing database load and improving response times by 40%, resulting in enhanced application performance and user experience.

• Developed and maintained RESTful APIs, ensuring high availability and scalability, which supported an increase in user traffic by 30%.

• Conducted comprehensive accessibility testing on the web frontend, leveraging Lighthouse, Jest, and React Testing Library, resulting in a 90+ accessibility rating and ensuring an inclusive user experience for all.

Recruit — Firmware and Driverless

University of Toronto Formula Racing (UTFR)

• Designed and implemented the control system architecture for the self-driving race car, successfully integrating PID Velocity and Pure Pursuit controllers, resulting in a 15% increase in path accuracy.

• Developed and optimized functions for processing input from camera sensors to determine the vehicle’s path using C++ and ROS2 Humble, improving real-time path detection by 20%.

kNight

• Developed a drone-based solution to enhance safety for individuals walking at night. Winner of the Hackathon.

SafeSpot

• Engineered a real-time video monitoring and alert system for healthcare settings utilizing Python, OpenCV, and TensorFlow. Achieved top 3 overall.

FindSpot

• Indoor navigation app for people with accessibility needs, using React Native and Python.

Super Panda

• Single platform game built with MIPS Assembly, recognized as best game from over 200 submissions.

AutoTrace

• An all-in-one android application designed to keep drivers informed and responsible.

Signify

• Sign-language translator built using Python-TensorFlow, and OpenCV.

HealthCan

• Healthcare services’ application developed using Java.

Course Projects

• GRAFFIT:

Programmed a social media network called GRAFFIT where users keep track of friends, and the brands users are interested in using graph network in C.

• Trees Everywhere:

Used the Binary Search Tree functionalities like, insertion, deletion, tree modification, and searching to implement an image analysis tool called Quadtree in C.

• Turtle Graphics:

Implemented all the standard functionality of the linked list and developed a function that takes the current list of commands and executes to produce an image to display in C.

Machine Learning Specialization

Stanford University and DeepLearning.AI at Coursera

• 3-Courses Specialization including Supervised and Unsupervised Learning, Advanced Algorithms, and Reinforcement Learning

Front-End Development Professional Certificate

META at Coursera

• 9-Courses Certificate including Advanced React, HTML, CSS, JavaScript, Version Control, UI/UX Design, and Front-End Developer Capstone

Back-End Development Professional Certificate

META at Coursera

• 10-Courses series certificate including Cloud Computing, Django Framework, APIs, Back-End Developer Capstone, and Databases