On Assignment to Meta | AI + Co-Design

A Software Engineer in AI System Software/Hardware Co-design Team

• Develop and Support FBGEMM_GPU, a high-performance PyTorch GPU operator library, for both internal and open-source use.

• Support and Managed continuous integration (CI) pipelines and coordinated open-source version releases.

• Designed and implemented a graph-based recommendation system for Microsoft’s internal knowledge management web application, enhancing decision-making for researchers and decision-makers.

• Led integration of machine learning and AI features like insight detection, context summary, PII detection, and data analytics pipelines.

• Acted as a primary machine learning expert within a small, multidisciplinary team, delivering solutions that bridged business intelligence and engineering challenges.

• Managed end-to-end lifecycle of machine intelligence features, from system design to continuous improvement.

• Dissertation: Scaling MapReduce-based Big Data Analytics Algorithms with AI inspired Controls

• Researched MapReduce-based algorithms to enhance parallelism by eliminating statefulness.

• Developed optimized Apriori, Association Rule Mining, and Decision Tree Learning algorithms, reducing runtime by 40% using JavaScript on NodeJS and MongoDB.

• Collaborated on a project to connect ALICE experiments with younger audiences through volunteer computing.

• Designed an outreach app with Unity and SQLite, engaging users in big science topics.

• Conducted experiments with 150 students, improving test scores on particle movement by 35%.

• Awarded Princess’s Scholarship as Thailand’s representative in computer engineering.