🎯 Backend Developer | Python & Go Enthusiast | Scalable Systems & APIs
With 5 years of professional experience, I specialize in building high-performance backend systems, asynchronous task processing, and data-driven applications. Passionate about clean architecture, database optimization, and solving real-world engineering challenges.
Built and maintained real-time game engines and backend services for a high-concurrency gaming platform, including probability-driven game logic such as Minesweeper-style games. Developed 25 production game engines designed for low-latency gameplay, reliable result processing, and traffic peaks of up to 100,000 concurrent users.
Technical Skillsets Applied
- Backend: Python, Go
- Architecture: Event-driven systems, microservices
- Infrastructure & Tools: AWS, Redis, PostgreSQL, Prometheus, New Relic
- CI/CD: Jenkins
- Concurrency: Multiprocessing, multithreading, goroutines
Role & Contributions
- Designed and implemented real-time game logic and result-processing flows
- Built event-driven components to handle concurrent player actions with low latency
- Optimized system performance, latency, and reliability for large-scale traffic scenarios
Designed and developed an internal ERP platform to replace the existing SAP Employee Self-Service system, supporting 20,000 employees across Malaysia and Thailand. The platform streamlines HR and finance workflows including time attendance, salary slips, overtime requests, leave applications, and expense claims, with an extensible workflow engine for future departmental processes.
Technical Skillsets Applied
- Backend: Python, Django
- Frontend: Vue.js
- Infrastructure & Tools: AWS EC2, Cognito, S3, CloudWatch, CloudFormation, Redis, MySQL
- CI/CD: AWS CodePipeline
- Async Processing: RabbitMQ, Celery
Role & Contributions
- Led end-to-end development from system design to production deployment as primary engineer and product owner
- Designed the scalable workflow engine and backend architecture
- Managed AWS cloud infrastructure and deployment pipelines
- Mentored and guided junior developers
Enhanced the internal SAP resume search workflow by building an AI-powered screening platform. Improved candidate-job matching quality by integrating machine learning-based extraction and ranking models into the resume ingestion and search process.
Technical Skillsets Applied
- Backend: Python, Django
- Frontend: Vue.js
- AI/ML: Resume text extraction model, ranking model
- Data: PostgreSQL
Role & Contributions
- Designed and built the backend platform for resume ingestion, parsing, and processing
- Integrated ML models for structured resume information extraction
- Implemented resume ranking and relevance scoring for job matching
- Improved matching quality compared with legacy keyword-based search
Languages & Backend
Frontend
Databases & Messaging
Cloud & Infrastructure
Monitoring & CI/CD
Architecture & Engineering
📌 Always open to exciting backend challenges, collaborations, and system design discussions.