data engineering · pipelines · software · AI/ML
Software Developer & Computer Science Graduate
Builds, monitors, and diagnoses reliable data pipelines across mobile, backend, AI/ML, and hardware-integrated products. Works with Python, SQL, C#, REST APIs, ETL workflows, automated testing, and Git-based DevOps.
| # | Organization | Role | Period | Status |
|---|---|---|---|---|
| A | The Learnistry | Software Developer | Jan 2026 — Present | Current |
| B | SMART Centre · Software Research | Software Developer | Sep — Dec 2025 | Completed |
| C | Pronti AI | Software Developer | Jan — Aug 2025 | Completed |
| D | Harpa Global | Software Developer | Jan — Apr 2025 | Completed |
| E | GoCPG | Software Developer | Sep — Dec 2024 | Completed |
| F | SMART Centre · SmartCV | Software Developer | May — Aug 2024 | Completed |
| G | ServiceEcho | Software Developer | Jan — Apr 2024 | Completed |
Build and diagnose API-to-database pipelines for mobile and web tutor-booking workflows using C#, Python, ASP.NET Core, REST APIs, and SQL Server. Validate scheduling and booking data through automated tests and DevOps workflows.
Built Python pipelines to collect and normalize hardware and system diagnostics. Monitored data quality across Windows, Linux, and network services and traced failures to reduce service-ticket resolution time by 30%.
Managed and tested the mobile image-data pipeline from clothing-photo upload through ML processing and outfit recommendations. Diagnosed ingestion and transformation failures and verified fixes with regression tests.
Developed and monitored internal data workflows, diagnosed processing and data-quality issues, and documented pipeline behavior and fixes through Git-based delivery.
Managed data-ingestion and transformation pipelines for a location-intelligence product, diagnosed quality issues across market and geographic data, and built Power BI reporting used to compare candidate store locations.
Built SmartCV's Raspberry Pi and OpenCV data pipeline to capture, classify, and report restaurant food-waste images. Diagnosed camera, edge-processing, and output failures so chefs could use reliable data for ingredient planning.
Developed and tested an iOS image-data pipeline in Xcode, moving captured inputs through object-detection inference to mobile results. Diagnosed pipeline failures and maintained automated integration and regression test suites.
Ingestion, transformation, pipeline monitoring, and data quality
Mobile features, device workflows, and application testing
Frontend, backend, REST APIs, SQL, and OOP
Image pipelines, ML integration, testing, and diagnostics
Version control, automated delivery, and deployment workflows
Edge systems, hardware integration, testing, and troubleshooting
Software Developer · Aug 2023 — Present
Managed registration and participant-data workflows for a hackathon serving 300+ attendees, validating data flow into a portal that delivered real-time event updates.
Bachelor of Computer Science (Honours)