Anshuman Dhillon
Student
(1)
33
Location
Brampton, Ontario, Canada
Portals
Categories
Engineering project management Software development Machine learning Artificial intelligence Hardware

Skills

Game testing 1 Google docs 1 Product quality (qa/qc) 1 Quality assurance 1 Teamwork 1 Video game development 1

Socials

Achievements

Latest feedback

Recent projects

Pixels to Players
Pixels to Players
Toronto, Ontario, Canada

Software Developer - Game Playtesting Service

We are looking for a developer who will work with Pixels to Players to create a platform to collect player information during game testing. Our goal is to establish a centralized and scalable playtesting program for development teams to do by remote. This includes video recording and audio transcription, form submissions, scoring assessments and data-base management. This is a continuation of an Alpha version created earlier this year. This project will include working on the final features with a thorough UX/UI polish on the site. A technical document is available with additional information including links: to access the source code, to access the database and RESTful API documentation. Candidates should be familiar with Vue, Javascript, HTML and Firebase. Repository is Github.

Matches 1
Category Website development + 4
Open
Billy's Cookies (a subsidiary of Dough Dough Digital Inc.)
Billy's Cookies (a subsidiary of Dough Dough Digital Inc.)
Toronto, Ontario, Canada

Quality Assurance for mobile and PC game

Tasks and Activities: QA Role: Bug Identification: Find bugs across various categories in game builds without needing to know the underlying code. Documentation: Develop clear documentation—including checklists, test cases, and comprehensive bug reports—according to provided templates and guidelines. Prioritization & Coordination: Prioritize issues and coordinate with the project manager and other team members for effective troubleshooting. Evidence Collection: Record issues with supporting evidence (videos and screenshots) to ensure reproducibility and clarity. Tooling Candidates are required to test builds on multiple platforms (Windows, Android). At least one tester must have an Android device.

Matches 1
Category Software development + 2
Closed

Work experience

Quality Assurance Tester
Dough Dough Digital Inc.
February 2025 - April 2025

Identified, categorized, and documented software bugs by testing game builds using technical documentation, helping software engineers resolve critical issues before release

Education

Bachelors, Computer Engineering
Toronto Metropolitan University
September 2023 - April 2027

Personal projects

Personal Portfolio Website
https://github.com/Anshuman-Dhillon/Anshuman-Dhillon.github.io

• Developed a responsive single-page portfolio website using pure HTML, CSS, and vanilla JavaScript to showcase personal projects, skills, and the proficiency needed to make the website without relying on libraries or frameworks.
• Integrated an animated background and dynamic contact form connected to Google Sheets for real-time messages while maintaining a clean UI and optimized performance across PC and mobile.

3D Model Store Website
June 2025 - Current
https://github.com/Anshuman-Dhillon/3D-Model-Website

• Designing a full-stack e-commerce web app using JavaScript and the MERN stack in a team of 3, to allow users to register, purchase, and download 3D models via a secure database hosted on the cloud with MongoDB Atlas (AWS).
• Building RESTful API endpoints in Node.js and Express to handle secure HTTP requests, user authentication, and model management, while integrating rate limiting middleware and role-based access for admin-only controls.
• Developing a responsive frontend with React, Bootstrap, and modular JSX components for a clean user experience, while coordinating team progress using GitHub, Jira, and VS Code Live Share for real-time collaborative development.

Digit Classification AI
January 2025 - January 2025
https://github.com/Anshuman-Dhillon/Digit-Classification

• Built a two-layer neural network from scratch using Python in VS code with sigmoid activations, softmax output, and cross-entropy loss to perform digit classification.
• Implemented forward and backward propagation manually and trained the model via stochastic gradient descent, achieving over 94% test accuracy without using high-level machine learning libraries.
• Designed an interactive digit recognition GUI using Tkinter that preprocesses user input with cropping, antialiasing, and normalization to enable accurate real-time predictions from a trained neural network.