Singapore
My career in a nutshell: Finance -> AI Engineer -> MLOps -> SWE I’m a self-taught software engineer who’s passionate about building products with real-world impact. Portfolio: Medium: https://medium.com/@davidcjw Blog: davidcjw.github.io Webpage: davidcjw.com Skills: I’ve done everything from traditional frontend/backend to building ML models to now building cloud native infrastructure. Contact me at davidcjw[at]gmail.com
Cloud Native Engineer, Engineering Infrastructure (Platform Engineering) Optimizing Shopee’s physical machine resources via node-level colocation (K8s)
Building infra for batch and real-time ML at GoTo Financial (formerly known as Gojek)
Content Classification in the digital marketing space for a startup 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Docker, Kubernetes, Python, RabbitMQ, Gitlab, W&B, DVC, Polyaxon
Recommender system for a local university library 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Docker, CentOS VM, FastAPI, Gitlab, MLFlow, Python, Polyaxon
➤ Automated reporting using Power BI for Senior Management and various risk stakeholders, creating time save and providing insights to Wealth Management business' risk profile ➤ Proficient in querying data with SQL, data cleansing, aggregation and analysing complex datasets using Python 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Python, SQL, Power BI, Tableau, Excel VBA
➤ Created a Risk Aggregation Dashboard for AEJ Operations Risk Managers and Management using Power BI, enabling data-driven decision making
Corporate Graduate Program with rotations across Finance (Product Control), Operations (Risk and Control) and Risk (WMD Risk) Spearheaded automation initiatives across AEJ Finance using RPA (UiPath) and Data Visualisation software (Tableau, Power BI)