Computer Science @ Queen’s University • Software Design Specialization

Arvin Askari

Software Developer · AI & Data Enthusiast

I build data-driven systems that turn complex information into real-world impact, across finance, transit, healthcare, and sports intelligence.

Arvin Askari
Portrait of Arvin Askari
Now

Recently completed a Software Developer internship at CIBC • Open to Summer 2027 opportunities • Shipping constant improvements to my portfolio

About Me

Hi, I'm Arvin!

I am a third-year Queen’s Computing student specializing in Software Design, with a Certificate in Business from the Smith School of Business. I enjoy working at the intersection of technical depth and real-world impact, whether that’s analyzing transit records, building RAG-powered healthcare tools, or translating sports metrics into data-driven insights.

Beyond code, I love travelling and sports. I’ve played competitive soccer all my life and earned my 2nd degree black belt as a karate instructor, experiences that taught me resilience, communication, and adaptability.

Education

Queen's University logo placeholder
Queen’s University Bachelor of Computing (Honours) · Software Design Specialization · 2024 – 2028
Smith School of Business logo placeholder
Smith School of Business Certificate in Business · 2025 – 2028

Interests

AI Data Science Software Engineering Sports Analytics Machine Learning

Experience

Software/Application Developer Intern

May 2026 - Aug 2026

CIBC • Toronto, ON

  • Contributed 10+ production commits to launch Auto Invest in CIBC Investor’s Edge, building responsive desktop and mobile functionality with Angular, TypeScript, HTML5, and SCSS.
  • Implemented 5+ customer-facing enhancements, including calendar-based start/end date selection and responsive UI components.
  • Collaborated with 10+ developers, QA analysts, product partners, and business stakeholders across Agile delivery cycles to refine requirements, resolve defects, validate functionality, and support releases.

Service & Operational Planning Intern

May 2025 - Aug 2025

Metrolinx • Toronto, ON

  • Analyzed 50,000+ operational data points across punctuality, delays, and ridership to generate business insights and support data-driven strategic decisions for senior leadership.
  • Automated and optimized Excel and Power BI reporting workflows, improving operational efficiency and reducing manual processing time by 30% while strengthening KPI tracking and performance monitoring.
  • Collaborated cross-functionally with planning, operations, and engineering teams to align stakeholders on key performance metrics, support process improvements, and enable accurate service adjustments.

Machine Learning Engineer - PostOpCare

Sep 2025 - Apr 2026

QMIND • Kingston, ON

  • Collaborated on an AI-driven healthcare platform that digitizes post-op instructions for patients via QR codes.
  • Used LLMs and NLP frameworks to generate accessible clinical outputs and improve healthcare information delivery.
  • Built automation workflows for clinicians to securely upload and update documentation through a unified interface.

Data Analyst & Content Developer

Sep 2024 - Apr 2026

QSAO • Kingston, ON

  • Analyzed 1,000+ performance metrics using Python and statistical methods to extract actionable insights.
  • Built data visualizations and analytical reports that translated complex datasets into decision-ready insights.
  • Applied validation and cleaning pipelines to improve dataset reliability and reproducibility.

Perception & Operations Team

Sep 2025 - Apr 2026

Queen’s AutoDrive • Kingston, ON

  • Integrated sensor, LiDAR data for real-time 3D Object detection and tracking using Python.
  • Implemented outreach strategies to secure sponsorships by crafting targeted cold emails to major companies.
  • Collaborating with Controls and Planning for reliable autonomy.

Full-Stack Developer

Jan 2025 - Apr 2025

QWeb • Kingston, ON

  • Built a responsive client site with HTML, CSS, JavaScript, and React.
  • Streamlined backend workflows to deliver approximately 20% faster.
  • Translated goals into requirements, cutting approvals by 30%.

Logistics Coordinator

Sep 2025 - Apr 2026

QUANTT • Kingston, ON

  • Coordinated 3+ events/semester across 4+ portfolios (50+ attendees).
  • Improved cross-team scheduling, reducing conflicts by 30%.
  • Introduced tracking systems to boost productivity by 20%.

Projects

Featured work is pinned first. Status badges update the current stage of each project.

Complete

CineMatch

Oct 2025

Interactive movie discovery platform built with Next.js, real-time API search and filtering, personalized recommendations, and a Google Gemini-powered chatbot.

TypeScript Next.js API Integration Gemini AI
Production

Personal Website

Feb 2026

Modern responsive portfolio built with HTML5, CSS3, and vanilla JavaScript. Features dark mode, SEO optimization, and accessibility-first design. Showcasing my experiences and achievements.

JavaScript HTML5 CSS3
Complete

VoiceCare AI

Feb 2026

Voice-first extension that guides users through the web with AI assistance.

Chrome Extension Gemini API Accessibility JavaScript React Text-to-Speech Voice-to-Speech
Complete

Landlord Negotiation Simulator

Jan 2025

Interactive AI-powered negotiation practice for first-time renters.

JavaScript React Next.js Flask Gemini API AI Chatbot
Complete

Police Dodger

May 2024

Python arcade game built with Pygame and Tkinter timer mechanics.

Python Pygame Tkinter Video Game Design 2D Graphics

Case Competitions

Arizona Diamondbacks

QSAO Sports Analytics Case Competition

Jan 2026

Machine learning model for WAR projections and Statcast pipelines for roster, trade, and contract strategy using Python frameworks.

ML Model Python Pandas Matplotlib NumPy Scikit-Learn

Miami Heat

QSAO Sports Analytics Case Competition

Mar 2025

2nd place finish for Miami Heat analytics pitch focused on performance strategy and roster fit using Python frameworks.

Data Analysis Python Pandas Matplotlib NumPy

Articles

Manchester United analytics article cover

Is Manchester United Better Without the Ball? - Sports Analytics Research Article

Nov 2025

"United have spent years trying to dominate possession. The numbers say they shouldn’t."

Ruben Amorim managerial bounce article cover

The Managerial Bounce at Manchester United: What to Expect with Ruben Amorim

Feb 2025

A data-backed look at managerial bounce patterns at Man United, with expectations for Ruben Amorim’s tenure.

Technical Skills

Programming & Web

Core Build
FlaskFastAPIAPIsHTML/CSS

AI & Data

Applied AI
PandasNumPyMatplotlibRAG

Tools & Delivery

Execution
VS CodeGit/GitHubJiraConfluenceAzure DevOps

Contact

Let’s Build Something Meaningful

I respond quickly to coffee chats, project collaborations, internship opportunities, and technical discussions.

  • arvin.askari@queensu.ca
  • Open to internships and impact-driven work
  • Email me directly or use the form!