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Build enterprise Java back-end services for multinational clients in energy, banking, telco, and public sector using Java 8/EE 7, microservices, and cloud platforms.
Build and maintain data pipelines for an AI large-language-model project, including web scraping to curate training datasets.
Build and optimize TikTok’s data warehouse pipelines and models to support batch and streaming analytics, using SQL, Python, Spark, Kafka, and Flink.
Build and optimize TikTok’s data warehouse pipelines and models to power search analytics and business insights using SQL, Python, Spark, and Kafka.
Build and scale the data infrastructure that powers LLM training, fine-tuning, evaluation, and RAG systems using cloud tools like AWS Glue, EMR, and Kubernetes.
Build and optimize distributed data infrastructure for TikTok’s recommendation, search, and ads systems, focusing on real-time and offline storage, Lakehouse architectures, and ML feature pipelines.
Design and implement scalable data-science models (ML, optimization, simulation, generative/agentic AI) in cloud environments, then productionize them with engineering teams to drive business impact.
Build and maintain AWS’s APJ data analytics platform, designing pipelines, data lakes, and ETL processes to power sales insights and business decisions across the region.
Build full-stack data and AI-native applications for TikTok LIVE, including analytics platforms, AI Agents, and diagnostic tools using modern web frameworks, backend services, and large language models.
Lead a full-stack engineering team in Singapore to architect and build digital banking solutions using modern web and cloud technologies while mentoring engineers and driving technical excellence.
Build full-stack AI-powered features for TikTok Shop’s SEA e-commerce platform, from front-end pages to back-end APIs and data pipelines, using AI coding tools to streamline development.
Build and automate ServiceNow workflows for CSM, DevOps, and ITSM, integrating CI/CD pipelines and scripting in JavaScript/Glide APIs.
Lead the design and development of enterprise-grade wealth management platforms using Java, ReactJS, and Python, driving scalable solutions and modern engineering practices.
Leads full-stack development for a wealth management platform, building scalable investment journeys using micro-frontends, DevOps, and CI/CD on OpenShift.
Builds full-stack features in Node.js and React, designs data models across MySQL/MongoDB, and integrates AI-assisted tools while ensuring healthcare data security and compliance.
Lead DevOps/SRE strategy for a global equities trading platform, driving automation, reliability, and operational resilience across regions while managing cross-functional teams and production excellence standards.
Build and maintain the AI platform’s DevOps/MLOps infrastructure, automate CI/CD pipelines, and deploy scalable ML workloads using Kubernetes, Kubeflow, and GitLab.
Lead a team of engineers to design and build scalable wealth-management platforms using Java, ReactJS, and Python, ensuring high availability and low latency for millions of users.
Build AI-powered full-stack apps for drone/robotics connectivity using Python, Flutter, React, and LLM APIs to automate workflows and enhance product intelligence.
Builds and optimizes the backend for BytePlus’s large-model AI platform, focusing on scalable multimodal inference, cloud-native architectures, and high-availability services.
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