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Build and optimize Shopee’s e-commerce data warehouse and real-time pipelines using Spark, Flink, Kafka, and SQL to power BI, data products, and ML algorithms.
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Build and maintain scalable data pipelines and GenAI applications for AI-driven analytics projects, collaborating with data scientists and engineers to deliver ML solutions for clients.
Build and maintain scalable data pipelines and feature platforms for ML systems at the world’s largest crypto exchange, using Java/Scala and big-data tech like Spark and Flink.
Build and optimize Plaud’s data platform to power AI-driven productivity tools, focusing on data warehousing, ETL/ELT, governance, and cloud services.
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and enabling analytics and ML workloads with PySpark and Delta Lake.
Builds and scales backend systems to detect and prevent account abuse, working with ML engineers to protect users globally using Python/Go and big-data tools.
Design and build offline computing systems for TikTok’s large-scale recommendation engine, using Flink and Spark to ensure stability and performance for billions of users.
Build and optimize distributed data pipelines and AI analytics for networking using Spark, Kafka, Delta Lake, and Kubernetes in a cloud-native environment.
Builds and optimizes Huawei’s big-data stack, ETL pipelines, and search/recommendation systems using Spark, Hive, Hadoop, and Python/Java/Scala.
Build and maintain large-scale offline computing systems for TikTok’s recommendation architecture, using Flink, Spark, and AI stacks like PyTorch to power feeds for over 1 billion users.
Senior Data Engineer builds and optimizes petabyte-scale ETL pipelines and dbt models, integrating AI tools to automate metadata, monitoring, and performance tuning for a global travel-experiences platform.
Design and build offline computing systems for TikTok’s large-scale recommendation infrastructure using Java/Python and big-data tools like Flink and Spark.
Build and scale a global data platform for a consumer internet company, designing data warehouses and pipelines to support content, e-commerce, and advertising ecosystems.
Build and maintain ML infrastructure for credit-risk systems, deploying models, optimizing pipelines, and improving data quality and observability.
Builds and maintains backend systems for Shopee’s anti-fraud and data security platforms, using Go/Java/Python and big-data tools like Spark/Flink to support risk analysis and model training.
Build and maintain scalable data infrastructure (Kafka, Flink, Spark, Databricks) to power AI initiatives and analytics at a global fintech payments platform.
Build and maintain scalable data pipelines and models to power analytics and insights for TikTok’s Video-on-Demand services using Spark, Flink, and distributed OLAP stores.
Build and optimize distributed orchestration frameworks for large-scale ML training and inference in Kubernetes, focusing on resource efficiency and next-gen recommendation systems.
Build and maintain data-driven risk platforms using big data tools like Hadoop, Flink, and Spark to support real-time security decisions in a fast-paced ecommerce environment.
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