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Leads cloud-native data engineering projects using AWS and Snowflake, designing scalable pipelines and coaching teams to improve data quality and production stability.
Build AI/ML models for real-time predictive maintenance using IoT data, deploying solutions to production with a focus on explainability and performance.
Principal engineer builds and owns the AI and data platform that turns scientific data into reusable assets for model training, evaluation, and automated workflows in a secure, scalable environment.
Build and maintain clinic and enterprise software for healthcare providers using .NET, C#, MSSQL, and cloud services to improve patient care and streamline operations.
Designs and builds on-premise data platforms and Kafka pipelines for Singapore’s defence intelligence operations, using PostgreSQL, Kubernetes, and IaC.
Design and implement AI evaluation, orchestration, and verification workflows for a high-assurance agentic AI platform used in regulated industries.
Build and maintain data warehouses and optimize real-time data pipelines for OKX’s risk control systems, enabling data-driven decision-making.
Lead a new Singapore-based applied AI team to build production-grade generative AI and ML solutions for BNY’s enterprise platform, Eliza, from problem framing to deployment and governance.
Builds data pipelines, models, and AI solutions to power TikTok’s monetization systems, including dashboards and BI tools for business growth.
Designs and builds scalable cloud ETL pipelines and data warehouses for ecommerce clients, leading end-to-end data lifecycle and cloud migrations.
Build AI-driven analytics pipelines to collect, process, and visualize manufacturing and product data, enabling data-driven decisions and performance monitoring.
Build and maintain secure, automated data pipelines and APIs that underpin Singapore’s digital-defence operations, using Java/C++ and modern data tools.
Builds and optimizes data pipelines, warehouses, and ETL processes using Python, SQL, Hadoop, and NoSQL to deliver analytics and insights for cross-functional teams.
Lead end-to-end AI initiatives, designing and deploying ML/GenAI solutions to accelerate product development and innovation in a large-scale engineering environment.
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 maintain real-time data pipelines and ETL processes for a wealth management system using Java, Spring, and SQL databases like Postgres/Oracle.
Build AI and data-science models to optimize semiconductor manufacturing, automate workflows, and drive factory productivity using ML, simulation, and analytics.
Build and deploy production-grade AI systems, including agentic workflows, RAG pipelines, and LLM integrations using Python, TensorFlow, and PyTorch.
Consultant role advising data center operators on AI-driven cooling optimization, thermal risk reduction, and energy efficiency using EkkoSense’s platform.
Build and deploy LLM-powered and agentic AI systems for healthcare, including RAG pipelines, multi-agent orchestration, and clinical decision support tools.
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