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Builds full-stack .NET applications with Blazor/React, integrates Azure services, and reviews code for business alignment and technical debt.
Build and maintain full-stack web applications using JavaScript, React, Node.js/PHP, and SQL/MySQL/MongoDB for a global marketing and technology agency.
Build and maintain enterprise data platforms and integrations using Java/Spring Boot, Node.js/Vue.js, and Kafka, while embedding AI tools to improve code quality and reliability.
Staff Software Engineer designs and evolves a scalable, AI-powered data platform for enterprise revenue analytics and forecasting in Java, AWS, and PostgreSQL.
QA engineer writes test cases, runs functional/API/UI tests, logs bugs, and ensures software quality for smart-device platforms and interactive public-space systems.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and optimize full-stack web and mobile platforms alongside AI-driven features like recommendations and chat interfaces using React/Next.js, Node.js, and LLM tools.
Maintains and optimizes enterprise databases (Oracle, PostgreSQL, SQL Server, MySQL, MongoDB) to ensure high availability and performance, troubleshoots issues, and implements automation and AI tools for operational efficiency.
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, integrating LLMs, RAG, and vector databases with full-stack Python/React systems in a regulated environment.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Lead a team to design and build scalable Azure-based data pipelines and Lakehouse architectures using Databricks, Delta Lake, and Azure Synapse to integrate enterprise data for analytics and AI insights.
Build and optimize end-to-end data pipelines on Azure and Databricks, integrating data for analytics and AI use cases using Python, Spark, and SQL.
Build and maintain data pipelines, ETL workflows, and RAG systems to power AI-driven analytics and LLM applications using Spark, Python, and cloud platforms.
Builds AI models, dashboards, and data pipelines to extract insights from MSSQL, BigQuery, and MongoDB for business decisions.
Build dashboards and predictive models using SQL, Python, and AI tools to turn restaurant-platform data into business insights and automated AI features.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Build and maintain a core in-house electronic trading platform in Java, handling order routing, market connectivity, and production support for a global equities desk in Hong Kong.
Build and maintain core financial software using Java/Spring Boot, Python/Django, and cloud tools; collaborate with teams to deliver scalable backend systems and modern web frontends.
Build and maintain scalable Java microservices for CoinMarketCap’s crypto data platform using Spring, REST, and middleware.
Build and maintain enterprise Java applications using Spring Boot, microservices, and React.js for a tech-focused client in Hong Kong.
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