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Sophia Pobre

@sophiapobre

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Computer science student and software engineer delivering reliable full‑stack solutions and tested APIs.

Philippines

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What I'm looking for

I’m seeking software engineering roles focusing on full‑stack or backend systems where I can build secure, tested APIs, improve reliability, and contribute to scalable deployments.

I am a computer science student and software engineer who builds full‑stack web applications and reliable server APIs, with a strong emphasis on testing and deployability. I combine academic excellence with hands‑on engineering experience at scale.

At Mastercard Canada, I improved API responses, enforced server‑side validation, implemented a custom REST exception handler, and achieved 100% branch test coverage with automated PHPUnit tests. I’ve led Dockerized deployments to Vercel and managed version upgrade compatibility for large repositories.

I also bring product and marketing insight from a Microsoft internship where I analyzed large customer datasets and improved UX for partner retailers. I prioritize secure, well‑tested code, clear documentation, and delivering measurable product improvements.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

Mastercard

Sep 2023 - Apr 2024 (7 months)

Enhanced customer-facing APIs by adding device identifier data and improved reliability by implementing server-side input validation and a custom REST API exception handler; achieved 100% branch test coverage with automated PHPUnit tests.

PHP PHPUnit REST APIs Docker Git Code Compatibility

Product Marketing Manager Intern

Microsoft

Dec 2019 - Dec 2020 (1 year)

Identified UI/UX improvements for a major retailer, centralized device launch communications via a SharePoint site, and analyzed 15,000+ customer records to prioritize market segments.

Market Analysis SharePoint Excel UX Research Segmentation Product Marketing Reporting

Education

Degrees, certifications, and relevant coursework

University of British Columbia

Bachelor of Computer Science, Computer Science

2022 - 2025

Grade: Weighted Average: 92%

Activities and societies: Dean’s Scholar; notable coursework: CPSC 330 (Applied Machine Learning) – final grade 99%.

Pursuing a Bachelor of Computer Science with a weighted average of 92%, Dean’s Scholar; achieved 99% in Applied Machine Learning (CPSC 330).

University of Sydney

Bachelor of Commerce, Finance

2017 - 2020

Grade: Weighted Average: 81.4% (Distinction)

Activities and societies: Academic Merit Prize (top 2% of undergraduates).

Completed a Bachelor of Commerce, majoring in Finance, with a weighted average of 81.4% (Distinction) and awarded an Academic Merit Prize (top 2% of undergraduates).