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Build and maintain enterprise full-stack apps in Java and Angular, integrating REST APIs, Spark pipelines, and Elasticsearch for data-heavy streaming and analytics projects.
Build and migrate data pipelines for Apple’s AI platforms in China, using Python, Spark, Kafka, and SQL to support real-time and batch processing for machine learning systems.
Build and maintain scalable data and ML platforms for real-time fraud detection and risk decisioning using Java/Python/Scala and distributed systems like Spark, Flink, and Kafka.
Build and maintain Shopee’s big-data infrastructure, including storage, batch/real-time compute, and OLAP engines, to power analytics and reporting for business teams.
Design and optimize cloud data pipelines and lake-house architectures for a global iGaming provider, migrating from on-prem to scalable cloud solutions while mentoring junior engineers.
Build and maintain the internal platform that lets developers deploy and run software, using AWS CDK, Kubernetes (EKS), CI/CD pipelines, and observability tools like Datadog.
Lead architecture and development of large-scale ML-powered fraud detection systems, building real-time data pipelines and model-serving infrastructure to protect Coupang’s e-commerce marketplace.
Builds and operates low-latency backend services that decide which ads to serve for every request in Apple Ads, using Java/Spring and Kafka on AWS.
Build and scale a cloud-native, multi-tenant data platform for the automotive industry, enabling real-time analytics and AI use cases across thousands of dealerships.
Lead the build of a cloud-scale data platform from ingestion to warehouse, designing real-time pipelines and AI-powered analytics for a global fintech trading platform.
Architect and build scalable pricing platforms for Coupang’s e-commerce marketplace, handling hundreds of millions of daily requests using distributed systems and JVM technologies.
Architect and build scalable pricing platforms for Coupang’s e-commerce marketplace, handling hundreds of millions of daily requests using Java, Spring Boot, and cloud-native tools.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Build and maintain the core platform that turns market data into features for AI-driven trading strategies, ensuring smooth research-to-production workflows and robust data pipelines.
Build and maintain the core platform that transforms market data into features for AI-driven trading strategies, ensuring reliable deployment and observability across research and production systems.
Build and scale MLOps infrastructure and pipelines to deploy, monitor, and optimize AI/ML models that power Veho’s logistics network and pricing systems for ecommerce brands.
Build and maintain AI-powered search infrastructure for a learning platform, designing Elasticsearch pipelines, hybrid retrieval systems, and backend services to deliver low-latency, high-relevance results at scale.
Lead architecture and development of Rain’s fintech backend, integrating banking, payroll, and timekeeping systems to power AI-driven financial health tools for millions of users.
Build and maintain scalable backend services and APIs for an AI-driven financial wellness platform serving millions of employees at major companies.
Designs and builds high-performance data pipelines and retrieval systems to power AI-driven video insights, combining vector search, knowledge graphs, and semantic layers at scale.
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