currently shipping ML/AI solutions to production at Labelbox while building open-source tools that 51,000+ developers use. In my 5th semester of Software Engineering, balancing academics with real-world projects that matter.

What drives me: Creating developer tools that actually solve problems and make workflows better.

Currently focused on: Multi-agent AI systems, performance optimization, and improving developer experience through better tooling.

Remote from Malaysia → San Francisco

Working on enterprise ML pipelines with measurable impact:

• 60% faster API responses - Implemented Redis caching for critical endpoints
• 40% more consistent AI models - Refined rating algorithms with better metrics
• 82% → 95% accuracy - Hyperparameter tuning and feature selection improvements

Learning enterprise systems at scale

• 70% reduction in manual testing - Built comprehensive automation frameworks
• 75% → 89.5% pipeline reliability - Implemented automated failure detection
• 800+ concurrent tests - Designed hybrid execution architecture

First official tech gig

• 99.9% uptime - Maintained Django platform for 400+ concurrent users
• 80% efficiency gain - Automated exam administration workflows
• Key learning: Real-world experience complements classroom education

Jangular-CLI Spring Boot + Angular Development CLI 51,000+ downloads (9k in first 5 hours) 60% faster project setup, 40% less boilerplate Pre-configured auth, migrations, and 15+ API routes	AgentHub Multi-Agent AI Orchestration Platform 9 specialized AI agents, 100+ integrated tools 300% developer productivity improvement Zero Trust security architecture
Research Contributions 3 working papers on Zenodo Agent Hub Architecture Framework Bio-Inspired Continual Learning Analysis JAngular Full-Stack Framework Evaluation

Currently: Bachelor of Software Engineering (Year 2/3) - CGPA: 3.67 (Dean's List Recipient)
Sunway University × Lancaster University | Semester 5/9

Completed: Diploma in Information Technology - CGPA: 3.91 (Distinction)
Sunway College | Graduated at 17

• 51,000+ NPM downloads - Developer tools with proven adoption
• 60% performance improvement in production ML APIs
• 95% AI model accuracy - Systematic optimization and tuning
• 3 research publications - Contributing to computer science research
• IEEE Eta Kappa Nu member - Top 25% globally at age 18
• JOSS peer reviewer - Reviewing academic papers as an undergraduate

• Multi-agent systems - Exploring coordination and orchestration patterns
• Performance optimization - Making systems faster and more efficient
• Developer experience - Improving tools and workflows for better productivity
• Research writing - Bridging practical implementation with academic contributions

Open Source: Building practical tools that solve real developer problems and contribute to the ecosystem

Research & Academia: Peer reviewing for JOSS and contributing to computer science research

Mentoring: Helping students transition from academic learning to real-world software development

Speaking: Available for talks on full-stack development, AI/ML engineering, and early career experiences

Interested in challenging projects with talented teams. Looking for:

• Full-stack development roles with meaningful impact
• AI/ML projects pushing technical boundaries
• Open source collaborations benefiting the developer community
• Research partnerships connecting academia and industry

Status: Available for internships, part-time roles, and collaborative projects while completing my degree