I build and maintain core financial systems that power payouts, reconciliation, and multi-network commission ingestion. My work focuses on improving financial data accuracy, reducing operational overhead, and enabling new business workflows through reliable backend infrastructure.

Key contributions:

• Built the company’s bonus payment infrastructure from scratch, introducing automated multi-split logic, Zendesk-driven workflows, and production-ready validation flows that significantly streamlined Ops handling of goodwill and manual adjustments.

• Owned sales importers for 10+ affiliate networks, fixing long-standing ingestion issues, adding historical backfill tools, and ensuring complete and accurate commission data across partner ecosystems.

• Designed and shipped prepayment reconciliation system, handling complex settlement rules, boosted-offer logic, multi-device scenarios, and force-recon cases—unlocking support for a large financial partner’s custom program.

• Refactored and stabilized fragile legacy modules, turning previously “untouchable” areas of the codebase into maintainable and reliable components.

• Improved financial reporting accuracy by building clawback processors, FX reconciliation workflows, and automated cleanup utilities that resolved negative, missing, or misclassified commissions, reducing recurring manual work for Finance and Ops.

• Designed and developed data-driven microservices using Go and RabbitMQ, facilitating the migration of the Python monolith to microservices and accelerating feature development.

• Led the development of two core services (order booking and pricing), powering 5 distinct products, enabling the company to expand operation to over 20 provinces in Vietnam.

• Standardized the partner APIs and documents, reducing the learning curve and setup time from weeks to a day, successfully onboarding Ahamove into top e-commerce sites in Vietnam.

• Monitored and ensured system stability, achieving an annual uptime of 99.99% by utilizing Grafana, Docker, and Kubernetes, and efficiently handling up to 10k requests per second during peak times.

• Constructed a troubleshooting guideline to categorize issues and developed an internal bot for product support engineers, achieving a 20% reduction in ticket resolution time for the customer service team.

• Mentored junior team members by providing regular feedback and guidance, fostering an environment of continuous learning and improvement.

• Led the back-end development of the “4 Hours Delivery” service from prototype to production, contributing over 50% daily revenue and earning recognition as the best project in 2019.

• Implemented RESTful APIs using Python and MongoDB, serving both users and drivers, enabling the business team to test and iterate various operation models during the company’s initial phase.

• Proactively monitored MongoDB queries to detect and resolve performance issues, ensuring query response time under 150 ms.

• Collaborated with cross-functional teams across the company to analyze and implement scalable technical solutions for new products, effectively addressing both existing and future needs.

• Refactored an internal ERP module using HTML, jQuery, ASP.NET, resulting in a modern UI, improved user experience, and streamlined reporting for business managers.

• Collaborated on a RESTful API with the mobile team, resulting in a successful app rollout and seamless integration across web and mobile versions.

• Optimized SQL Server queries for timely report exporting, resulting in improved data accuracy and Board of Directors satisfaction.

• Developed a web application to process the large excel files and have a reporting dashboard using HTML, CSS, ASP.NET framework.

• Participated in daily stand up meetings to discuss project progress, challenges.

• Attended internal training for Intel employees resulting in developing a strong can-do attitude and fearless innovation.