• Built ETL data pipelines to ingest and normalize data from all major exchanges.

• Optimized backend infrastructure, reducing response times by up to 80% via query tuning.

• Improved distribution and caching of platform tests to improve CI/CD build time by 40%.

• Architected MapReduce-based distributed compute system for aggregated data analysis + collation for class-action lawsuits, resulting in $5M+/year profit.

• Mentored and trained juniors and new hires.

• Led Data Science and A.I. architecture for a team of 25.

• Implemented a robust filetype-agnostic ETL framework for processing client data.

• Directed cross-department digital transformation efforts at the Federal Bank of Hong Kong.

• Spearheaded data science strategy to maximize customer retention for Asia’s largest insurer.

• Managed a software consultancy working with a dozen clients globally.

• Rebuilt a routing engine to function as a distributed system, supporting 4x traffic increase.

• Redesigned a regex analytics engine to use ElasticSearch, improving performance by 100x

• Architected routing and scheduling algorithms to generate $5M+ in annual revenue

• Developed automated accounting and reconciliation systems to reduce loss by 8%

• Created realtime daily revenue prediction model accurate within a 5% margin of error

• Scaled technical operations to support over 300 drivers