I'm a computer science student and junior software developer driven by building practical software that users love. I enjoy turning complex problems into clean, maintainable code and collaborating across teams to ship reliable features. My work ranges from frontend interfaces to backend services and experiments in AI for real-world use cases, such as defect detection and data-driven dashboards. I value thoughtful design, testing, and continuous learning as I grow as a developer.

Jovian Sanjaya Putra

I'm a computer science student and junior software developer driven by building practical software that users love. I enjoy turning complex problems into clean, maintainable code and collaborating across teams to ship reliable features. My work ranges from frontend interfaces to backend services and experiments in AI for real-world use cases, such as defect detection and data-driven dashboards. I value thoughtful design, testing, and continuous learning as I grow as a developer.

Available to hire

I’m a computer science student and junior software developer driven by building practical software that users love. I enjoy turning complex problems into clean, maintainable code and collaborating across teams to ship reliable features.

My work ranges from frontend interfaces to backend services and experiments in AI for real-world use cases, such as defect detection and data-driven dashboards. I value thoughtful design, testing, and continuous learning as I grow as a developer.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Junior Software Developer at PINUS, Indonesian Community at NUS Singapore
September 1, 2025 - Present
Maintained the Indonesian community website (pinusonline.org) with frontend updates and bug fixes to ensure high availability for Indonesian students. Built a form management dashboard with editing, response export, status controls, and analytics to reduce manual admin work for event organisers. Improved form submission reliability through dynamic rendering, input validation, and file upload handling for end users.
Research Engineer Intern at SIMTech A*STAR Singapore
September 1, 2024 - April 1, 2025
Built a real-time defect detection system for metal surface non-destructive testing by training YOLOv11 across 4 defect classes; achieved 85.3% precision, 79.6% recall, and mAP50 of 85.5%. Deployed inference on a Raspberry Pi edge device with SAHI slicing and model pruning, reducing inference time to under 4 ms per frame without sacrificing accuracy. Developed a Flask web application for offline industrial inspection with image uploads, real-time defect detection, and defect analytics visualization. Co-authored and presented research on robust real-time AI inference for industrial NDT at SINCE 2025.

Education

Bachelor of Computing in Computer Science, Second Major in Data Science and Analytics at National University of Singapore (NUS)
August 1, 2025 - May 14, 2026
Diploma in Computer Engineering at Singapore Polytechnic
April 1, 2022 - April 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Manufacturing, Professional Services