Aadi Patel

I’m a Computer Engineering student at Queen’s University with experience building software applications, automation tools, and data-driven systems. Through my internships at IESO and Sphere Developments, I’ve worked with Python, Flask, REST APIs, SQL, automated testing, and CI/CD while developing tools that improved efficiency and supported real users. Outside of work, I’ve built several projects that reflect my interest in full-stack development, AI, and scalable systems.

These include an Enterprise AI Support Agent using RAG, LLMs, FastAPI, PostgreSQL, Docker, and Kubernetes; WorkflowHub, a full-stack project management platform built with TypeScript, React, Node.js, and PostgreSQL; and a Smart Parking System that used Node.js, sensors, and Kubernetes to provide real-time parking availability and reservation functionality. I enjoy solving technical problems, learning new technologies, and building reliable software that has practical applications.

Market Forecast and Integration Student Intern at Independent Electricity System Operator (IESO) (2025-05 – 2026-08)

• Built internal Python and Flask tools to display processed datasets and reporting results, enabling users to identify data issues and complete recurring analyses more efficiently.
• Developed Python and VBA automation scripts to validate, process, and report market data, reducing manual processing time by 30% and improving the consistency of recurring workflows
• Built a Python pipeline that transformed Tableau data with pandas and automatically delivered standardized reports to the team, improving reporting efficiency by 60%
• Re-engineered legacy VBA automation tools into Python applications, reducing execution time by 40%

Engineering Assistant at Sphere Developments (2024-05 – 2024-08)

• Built a Flask REST API with an SQL database to manage property listings and project records, reducing manual spreadsheet data-entry time by 30%
• Refactored automated Selenium test workflows and integrated them with Jenkins CI pipelines, reducing manual regression testing time by 45% and improving test reliability.
• Collaborated with developers through Git-based code reviews, testing, and iterative development to safely integrate changes into shared applications.
• Led the development of Sphere Developments' commercial real estate management website, resulting in a 40% increase in online engagement and a 25% rise in website traffic within the first three months

Bachelor of Applied Science in Computer Engineering – Queen's University (2022-09)