Software Development: Undertook optimization tasks resulting in a 3% improvement in click rate and a 69% reduction in data
storage consumption. Analyzing the current business performance indexes and streamlining the data engineering pipelines
. Machine Learning and Data Science: Integrating state-of_the-art deep learning matching and re-ranking models to enhance the
performance of recommendation systems. Optimized and managed Hadoop data pipelines using Spark SQL queries and Scala
scrints conducted online AiBteststo ensurethe auailabilitu of high-auality feature data stores and eualuatedthe mode
performance

Singapore
Research Assistant
January 2021-March 2022
. Research: Conducted aliterature survey and published an in-depth scoping review. Subsequently, I published the results as 2
research papers in international iournals and conferences in addition to my Master' Dissertation on personalization for physical
activity interventions (recommendations).
Software Development: Developed an Android application using Polar sDK, Aws Amplify, and Amazon DynamoDB to collect raw
sensor (Heart Rate and Accelerometer) data from Polar Verity Sense device via Bluetooth. This setup was used in a 3-arm
randomized control trial (RCT) with 18 participants, and results showed a significant improvement in app usage and physica
activity due to recommendation personalization
. Machine Learning and Data Science: Deployed an activity recognition classifier based on raw sensor data to create user activity
profiles and generate temporal physical activity interventions using Aws Lambda and Amazon Pinpoint.

Augmented Data Analytics and eQubeB1 OLAP Engine Core Team
Machine Learning: Responsible for researching and analyzing the latest and innovative machine learning methodologies and
incorporating them into eQubeBI products
Software Development: Contributed to optimizing workflows and introducing advanced business requirements in the existing B
tool
. Data Science and Knowledge Discovery: eQ's platform now includes advanced capabilities such as statistical analysis
forecasting, and large-scale database management for Business Intelligence use cases. Additionally, the platform offers improved
client interaction
. Client interaction: Demonstrated the new critical features of eO's platforms to client firms such as Lockheed Martin, Us Navy, and