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Designs, builds, and optimizes ETL pipelines to integrate banking data into a data warehouse using SQL, Informatica/DataStage, Linux, and Python.
Build and deploy reinforcement-learning models for hyper-personalization and agentic AI use cases to boost customer engagement and conversion at a major telecom/media company.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Build predictive models and uncover insights from petabyte-scale financial datasets using Python, SQL, and AI coding assistants like Cursor or Copilot.
Build and maintain AI-ready data pipelines for semiconductor manufacturing, cleaning and validating production data to support next-gen equipment development.
Builds and maintains automated trade lifecycle systems for equities and ETFs, focusing on corporate actions and reference data to support trading operations.
Build AI-driven predictive models and real-time analytics on petabyte-scale financial data, then translate insights into dashboards using Python/TypeScript and SQL.
Builds data pipelines and validation tools in Python/SQL to clean and annotate semiconductor-equipment data for AI model development and system verification.
Lead data and AI governance for a Hong Kong bank, setting policies, ensuring regulatory compliance, and improving data quality and customer experience.
Build and maintain Tableau dashboards and SQL-based reports to turn retail sales and operational data into actionable insights for a pan-Asian retail group.
Design and build enterprise-scale BI solutions using Power BI and SSAS, creating dashboards and data models with DAX and SQL for a large tech/telecoms firm.
Design and maintain real-time and batch data pipelines using Apache Flink for a crypto exchange, collaborating with AI and engineering teams to ensure system stability.
Build and maintain scalable data pipelines on Azure and Databricks to support insurance analytics and reporting, ensuring data integrity and accessibility for business needs.
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends like Iceberg, ClickHouse, and PostgreSQL to serve trading desks and analytics.
Build and maintain scalable ETL pipelines and CI/CD workflows on Azure Databricks and Microsoft Azure, enabling reliable data insights and cloud cost optimization for enterprise stakeholders.
Lead a team building AI and Generative AI models for insurance underwriting, including LLMs for document analysis and risk assessment, while ensuring compliance and scalability in a regulated financial environment.
Designs and builds risk data pipelines and analytics solutions for a financial exchange’s Post-Trade and Operational Risk teams using Python, SQL, and data warehousing.
Build and optimize risk data pipelines and analytics platforms for a major exchange, enabling self-service BI and data-driven decisions in clearing and operational risk.
Builds a document IDE for non-engineers using C#, .NET, and Rust, focusing on extensibility, user research, and clean code practices.
Develop 3D vision products using advanced sensing and reconstruction techniques like digital holography and confocal imaging.
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