Ang Mo Kio, Singapore | TG: @spread128 | +1 4844731538 | [email protected]
As a full-stack engineer with over 9 years of experience, I specialize in designing and developing high-performance, data-driven systems across front-end and back-end stacks. With proven expertise in React, PHP, and Python, I have built scalable architectures for quantitative risk control, trading analytics, and data monitoring platforms. I excel at integrating complex business logic with clean, reliable code that supports continuous improvement, system stability, and precision in risk detection.
Programming Languages: PHP, Python, TypeScript, JavaScript, SQL, Golang, Rust
Frontend: React, Next.js, Redux, Tailwind CSS, React Router, WebSocket, REST, GraphQL
Backend & Systems: Laravel, Node.js, Express.js, Django, gRPC, Microservices, Async I/O
Databases & Messaging: MySQL, Redis, PostgreSQL, MongoDB
DevOps & Cloud: Docker, GitHub Actions, AWS (EC2, S3, Lambda), CI/CD, Ubuntu, Linux Server
Quantitative & Risk Systems: Factor mining, data pipelines, trading strategy simulation, anomaly detection, risk monitoring dashboards
Tools & Collaboration: Jira, GitLab, Jenkins, Agile/Scrum, Remote teamwork
January 2022 - July 2025
Project Overview: Built scalable, data-driven systems supporting analytics, monitoring, and financial data risk control for SaaS and fintech clients.
• Designed and implemented end-to-end microservices in PHP (Laravel) and Python for real-time risk monitoring and factor computation across distributed systems.
• Developed high-performance dashboards in React/Next.js with Tailwind CSS, enabling anomaly visualization and alert automation for operational risk control.
• Integrated Redis caching and MySQL indexing to optimize data aggregation, cutting query latency by 45% in large-scale monitoring workloads.
• Established CI/CD pipelines using Docker and GitHub Actions for continuous deployment across production environments, improving uptime to 99.9%.
• Collaborated with quantitative analysts and trading teams to translate factor definitions into system-ready metrics and improve strategy robustness.
• Authored comprehensive documentation and reusable code libraries for cross-project consistency and maintainability.
Technologies: PHP (Laravel), Python, React, Next.js, Tailwind CSS, Redis, MySQL, WebSocket, Docker, AWS EC2, Node.js, GitHub Actions
Zaibatsu Tech — Full Stack Developer
Jan 2020 – Jan 2022
Project Overview: Developed and maintained multi-layered data and analytics platforms supporting enterprise-level monitoring and control systems.
• Built REST and GraphQL APIs in PHP and Django for data access and transformation pipelines across distributed trading datasets.
• Developed front-end analytics tools in React for visualizing key metrics, abnormal patterns, and custom data signals.
• Enhanced CI/CD pipelines and automated data integrity tests, increasing deployment reliability by 30%.
• Designed database schemas and triggers for real-time data validation and early anomaly detection.
• Worked cross-functionally with data engineers and DevOps to maintain system reliability during live trading hours.
Technologies: PHP, Django, React, Redux, Jenkins, Docker, PostgreSQL, Redis, AWS
First Line — Software Engineer
Jan 2019 – Jan 2020
Project Overview: Delivered real-time data visualization and monitoring applications for internal control systems.
• Built reusable front-end modules in React and asynchronous data-fetch layers using WebSocket and GraphQL.
• Integrated back-end services with Python APIs to stream live metrics for operational dashboards.
• Implemented automated alert mechanisms for system performance and data anomalies.
• Introduced modular design for component reuse, reducing front-end delivery time by 25%.
Technologies: React, Python, GraphQL, Node.js, PostgreSQL, Redis, Docker
JPLOFT Solutions — Backend Engineer
Jan 2017 – Jan 2019
Project Overview: Developed financial transaction and compliance systems supporting secure data pipelines and high-volume risk validation.
• Built robust backend services in PHP and Python with MySQL and Redis to manage financial transaction flows.
• Implemented data auditing, concurrency control, and encrypted data storage for risk-sensitive environments.
• Collaborated on risk control algorithms ensuring compliance with global data and financial standards.
• Improved throughput by 50% while maintaining strict security and data integrity.
Technologies: PHP, Python, MySQL, Redis, AWS EC2, Docker
GAM Tech — Junior Developer Intern
Apr 2016 – Jan 2017
Developed and tested data-driven user interfaces for web-based dashboards.
• Improved front-end responsiveness and optimized data query efficiency.
• Enhanced data visualization and performance monitoring modules.
Bachelor’s Degree of Science in Computer Science, National University of Singapore, 2016
AWS Certified Solutions Architect – Associate (2020)
Certified Python Developer – Advanced (2023)
Django Professional Certification (2022)
Certified AI Engineer – TensorFlow & LangChain (2023)