- Managed a team of 6 people consisting of data engineers and data analysts in the Fraud, Credit Risk, Enterprise Risk, and Anti-Money Laundering (AML) team.- My daily work consists of gathering business requirements from business users, creating Product Requirements Documents, doing code reviews, improving existing codebase, and developing working prototypes for the users to evaluate.- I am part of a core team that helps manage BigQuery query costs affordable by creating optimizations… Show more - Managed a team of 6 people consisting of data engineers and data analysts in the Fraud, Credit Risk, Enterprise Risk, and Anti-Money Laundering (AML) team.- My daily work consists of gathering business requirements from business users, creating Product Requirements Documents, doing code reviews, improving existing codebase, and developing working prototypes for the users to evaluate.- I am part of a core team that helps manage BigQuery query costs affordable by creating optimizations in the queries and dataset schemas.- I co-created a microservice that assesses customers’ risk level based on their profile. This microservice serves hundreds of requests per second 24/7, with an expected response time of less than 100 milliseconds. - I created an automated process that generates reports required for regulatory AML checks. This automation saves roughly 20 man-hours per week.- I created a pipeline that automatically updates the bank’s blacklist data from a third-party source on a weekly basis. Show less

- Helped develop new features for an existing nation-wide insight pipeline using Scala, Python and SQL. Today, the pipeline handles between ~150 GB worth of data daily. It uses Airflow to schedule daily Spark jobs to process data in batches. - Responsible for automating the CI/CD process using CircleCI, deploying infrastructure using Terraform, as well as creating monitoring and alerting systems in AWS Cloudwatch and Grafana. - Identified bottlenecks in the pipeline and scale the… Show more - Helped develop new features for an existing nation-wide insight pipeline using Scala, Python and SQL. Today, the pipeline handles between ~150 GB worth of data daily. It uses Airflow to schedule daily Spark jobs to process data in batches. - Responsible for automating the CI/CD process using CircleCI, deploying infrastructure using Terraform, as well as creating monitoring and alerting systems in AWS Cloudwatch and Grafana. - Identified bottlenecks in the pipeline and scale the pipeline by creating parallelization on programs. - Conducted code refactoring and optimization on many of the company’s repositories. I also optimized the database indexes, queries, and code which sped up the overall query time by 20%. - Helped manage the operations and maintenance team for a project with the Land Transport Authority, Singapore. I provided monthly reports of key metrics, liaised with third party vendors and clients for new features and other administrative needs. Show less

- Conceptualized a proof-of-concept full stack application that communicates with different platforms' API modules. This application aims to standardize the workflow of more than 60,000 employees across more than 100 countries.- Developed a new technology stack, Caspian, that helps media agencies do automated data ingestion and storage. - Created a solution for the investment and savings team to automate value-tracking the team's investments across more than 10 markets in the APAC… Show more - Conceptualized a proof-of-concept full stack application that communicates with different platforms' API modules. This application aims to standardize the workflow of more than 60,000 employees across more than 100 countries.- Developed a new technology stack, Caspian, that helps media agencies do automated data ingestion and storage. - Created a solution for the investment and savings team to automate value-tracking the team's investments across more than 10 markets in the APAC region Show less

Software Developer- Developed and maintained various Java-based software programs used by leading banks in the APAC region- Exposed to logic development, database management and front-end development

Operations Group- Helped to conceptualize Garena Messenger (GAS) on mobile devices