I'm Dhirran Pirabaharan.A Software Developer

I’m a software engineer specializing in full-stack development and machine learning. I’ve built enterprise systems used by 100+ managers, optimized large-scale SQL infrastructure, and developed AI models for handwritten math recognition.

With experience at Public Services and Procurement Canada and Ontario Power Generation, I enjoy solving complex technical problems, building scalable systems, and delivering measurable performance improvements.

more about me

about me

About Me

personal infos

Name : Dhirran Pirabaharan

Education : Carleton University

Location : Ottawa, Canada

Email : dhirru.p12@gmail.com

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3

years of full-stack development

150

employees using enterprise applications

100

FedEx managers active on my portal

10

websites developed for university clubs

experience & education

May 2025 – Present
StudentPublic Services and Procurement Canada
- • Created intuitive Power BI dashboards and Power Automate scripts to collect and organize data for managers
- • Developed Excel solutions powered by Power Query aggregating 10,000+ Work Items from Azure DevOps
Sep 2023 – Aug 2024
SWE InternOntario Power Generation
- • Modernized outdated MS Access applications into .NET web applications
- • Implemented ASP .NET Web APIs with Entity Framework in C#
- • Managed 10+ internal SQL databases, updating for optimal performance
- • Reduced procedure run times from 60+ minutes to under ~2 minutes
Jan 2023 – Aug 2023
Full-Stack SWE InternMicrosys Inc
- • Created Flutter attendance app and API with facial authentication
- • Developed a FedEx Door Tag portal, managing over 3 million units
- • Designed automated Python email scripts for 100+ customers
Sep 2021 – May 2023
Back-End DeveloperCarleton Computer Science Society
- • Contributed to 10+ websites for the largest club at Carleton University
- • Leveraged Django and Python to design and manage relational databases
- • Utilized VueJS and Swagger to integrate and document APIs

Expected: Apr 2026
Bachelor of Computer Science, AI and Machine Learning StreamCarleton University
• Relevant Courses: Software Engineering, Web Applications, AI, Machine Learning, Mobile Development, Data Algorithms