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Build and optimize scalable training and inference infrastructure for reinforcement-learning AI agents, deploying across cloud and edge with a focus on latency, throughput, and cost efficiency.
Design and deploy enterprise-scale AI solutions like pricing optimization and anomaly detection using Python, Spark, and cloud platforms.
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
Build, train, and deploy AI/ML models (e.g., time-series, CV, NLP) to solve business problems, then monitor and iterate them in production with MLOps tooling.
Lead data engineering projects to build investment data & analytics platforms using Python, Spark, AWS, and modern DevOps tools, enabling data-driven decisions for a global sovereign wealth fund.
Build and deploy ML models and LLM-based apps for beauty ecommerce, including recommendation engines and NLP, using PyTorch, FastAPI, and GCP VertexAI.
Build and maintain Feedzai’s data orchestration platform, integrating diverse data sources and enabling real-time fraud detection for banks and retailers using Java, Kafka, and cloud-native services.
Build and maintain data pipelines and infrastructure for AI models that optimize Singapore’s transport network, using Python, SQL, Spark, Kafka, and cloud platforms.
Lead a team to build and maintain scalable data infrastructure and analytics platforms using Python, Spark, and AWS, enabling investment decisions at a global sovereign wealth fund.
Builds and maintains global equity datasets for quant research and portfolio construction, using Python, SQL, and data pipeline tools.
Build and maintain DRW’s Unified Data Platform, designing pipelines to ingest trading, research, and back-office data using SQL, Python/Java, and modern batch/streaming tech.
Build and govern data pipelines for a global trading firm, integrating vendor datasets and enabling traders and researchers with reliable, high-quality data products using SQL, Python/Java, and modern streaming/batch tech.
Lead a team to design and build Microsoft BI solutions (ETL, SSAS Tabular, Power BI) for banking domains, optimizing SQL Server performance and mentoring engineers.
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and ensuring clean, reliable data for analytics and ML workloads.
Build and maintain scalable data pipelines and warehouses using Python/Java/Scala, Spark, Kafka, and cloud platforms to deliver reliable, high-performance data solutions.
Build and optimize data pipelines and applications using Hadoop, Spark, Python, and Airflow to power Singtel’s 5G, cloud, and analytics platforms.
Design and implement scalable cloud data architectures, lead Data Lakehouse development, and build ETL/ELT pipelines using Python, SQL, and Spark for a government-linked AI platform.
Build and maintain data pipelines and infrastructure for AI models that optimize Singapore’s transport network, ensuring high-quality, real-time data from sensors and systems is reliably ingested and governed.
Build secure, scalable data infrastructure for AI-driven semiconductor manufacturing, including ETL pipelines, data lakes, and governance for sensor and process data.
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