Raymond Pang
Bachelor of Computing student at Queen's University specializing in Cognitive Science with a minor in Statistics. Experienced in full-stack web development, data analytics, and automated testing platform design. Demonstrates practical skills in software engineering alongside customer service and leadership experience.
Experience
Crew Member
McDonald's
Aurora, ON
- Took orders and prepared food during peak hours in a high-volume location.
- Worked evenings and weekends through the school year.
Sports Camp Counsellor
Holy Trinity School
Richmond Hill, ON
- Ran daily sports activities for groups of 40-50 campers, ages 5-12.
- Checked kids in and out with parents and handled issues that came up during the day.
Education
Queen's University
Bachelor of Computing (Honours)
Cumulative GPA: 3.73 / 4.3 Relevant Coursework: Statistics & Probability, Data Structures & Algorithms, Discrete Mathematics, Logic for Computing Science, Cognitive Science, Computer Architecture
Skills
SQLPythonpandasNumPyExcelPostgreJavaJavaScriptTypeScriptCC++ReactNext.jsFastAPIStreamlitREST APIsGitGitHubDockerAWSEC2RedisVS Code
Projects
Nudge – Behavioral Bias Detection for Retail Traders
React, TypeScript, Node.js, PostgreSQL, Recharts | QHacks 2026 – National Bank Challenge
- Translated behavioral finance research into quantitative detection rules for three documented biases – overtrading, revenge trading, and loss aversion – applied to trade-level transaction data.
- Analyzed CSV files with 200,000+ trades to compute win rate, profit factor, and P&L attribution, identifying which behavioral patterns correlated most strongly with account underperformance.
- Built a dashboard that translated raw transaction history into plain-language trader psychology profiles so a non-technical trader could read the results directly.
- Delivered a working prototype and presented results to National Bank judges under a 36-hour constraint.
AI Code Breaker – Automated Correctness Testing Platform
Python, FastAPI, PostgreSQL, Redis, Docker, Hypothesis, Next.js
- Developed an automated differential-testing platform that identifies behavioral differences between candidate and reference implementations.
- Ran both programs in separate environments and automatically reduced failing test cases into smaller, easier-to-understand examples.
- Used an LLM to suggest test cases and explain failures, while relying on actual program output to decide whether a test passed or failed.
Proshot – Automated Image Processing Tool
Python, React, TypeScript, Tailwind CSS, Cloudinary
- Built a web app that turns an uploaded photo into a professional headshot, with one-click style presets so users don't need to configure anything.
- Implemented custom background descriptions alongside preset styles, passing user-written prompts to Cloudinary's generative transforms for personalized results.