Taipei, Taipei City, Taiwan
I’m a software engineer with 4+ experience across backend systems, infrastructure automation, and applied machine learning. With a CS background from Arizona State University and industry experience at Amazon AWS and a semiconductor fab infrastructure project, I bring both system-level thinking and hands-on development experience. My past work spans building robust APIs, automating internal data pipelines, developing ML agents for strategic gameplay, and deploying scalable systems using AWS (EC2, DynamoDB, Quicksight), .NET, and Python. I’ve worked with MDM platforms, CI/CD pipelines, and cross-team product rollouts. I’m passionate about combining system design with intelligent automation, and I’m currently seeking opportunities in software engineering or machine learning engineering roles where I can contribute to robust, data-driven product development.
Developer of a high-frequency cryptocurrency exchange matching engine, focusing on low-latency optimization, distributed system reliability, and financial integrity. ● Distributed Consistency: Resolved critical distributed state desynchronization between Master-Slave engine instances; architected a state-validation framework to ensure 24/7 atomic consistency. ● Risk & Compliance: Mitigated financial risk exposure by rectifying order processing flaws; prevented potential $500K+ in daily transaction losses through precision debit/credit reconciliation logic. ● Automation & DevOps: Automated mission-critical market operations via Ansible and Jenkins, reducing manual operational latency and effort by 40%. ● Performance Tuning: Maintained sub-millisecond matching latency by leveraging Object Pooling and ZGC optimization to minimize GC overhead in high-concurrency environments.
As the sole IT engineer supporting a large-scale semiconductor fab project, I led IT operations ranging from user support to infrastructure deployment. I implemented secure systems, streamlined internal processes, and introduced automation to enhance scalability and reduce manual workload. ● Built and deployed a file server infrastructure with permission-based access control, improving data transparency and reducing admin overhead. ● Managed an MDM system to automate provisioning, enforce policies, and distribute internal apps across teams. ● Conducted phishing simulations and security training to strengthen organization-wide security awareness. ● Streamlined helpdesk ticket flow through automation and analytics, improving response efficiency. ● Assisted in network and backend infrastructure deployment for an automated warehouse.
I contributed to feature development and reliability improvements for AWS Quicksight and CloudTrail services. My work focused on backend system enhancements, automation, and improving observability, directly impacting user experience and operational efficiency. ● Developed a backward-compatible PDF generation API for CloudTrail, enabling new root-cause workflows. ● Designed and implemented failure notification types, cutting root-cause analysis time by 50%. ● Integrated CSV download functionality into emails, improving customer reporting capabilities. ● Maintained and updated integration/unit tests for Quicksight pipelines to ensure safe deployments. ● Managed data ingestion and reporting using DynamoDB, EC2, and Quicksight dashboards.
I worked on game-theoretic AI in a multi-agent system setting, focusing on adaptive behavior modeling and knowledge-based reasoning. Developed a monopoly-playing agent using machine learning strategies that outperformed peers in dynamic environments. ● Implemented K-Nearest Neighbors (KNN)-based strategy tuning with novelty detection for adaptive learning. ● Integrated KRR models for decision-making, achieving a 90% win rate against other teams. ● Modeled rival agents’ strategies with 80% prediction accuracy for counter-strategy optimization.
● Constructed a sport lottery-like app and targeted to let everyone join the game easily ● Expanded existed features and optimized the UI/UX such as the stepper component, information showing interface. ● Led a discussion of how to implement more features in order to attract more people