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Builds AI-native drug-discovery software: data pipelines, APIs, MLOps, and lab-automation integrations that power scientists and autonomous agents.
Lead multi-site Critical Environments operations, ensuring safe, consistent execution across electrical and mechanical infrastructure that powers and cools Oracle’s cloud (power distribution, UPS, generators,…
Build and deploy AI-driven cybersecurity automation tools, including agents and RAG systems, on cloud platforms to detect and respond to threats for a global financial firm.
Designs and builds scalable data pipelines and warehouses on Azure using PySpark, Delta Lake, and Databricks to support automotive software platforms.
Designs, builds, and maintains scalable data pipelines on Azure using Databricks, PySpark, and Delta Lake to support business analytics and reporting.
Designs, builds, and maintains scalable data pipelines on Azure using Databricks, PySpark, and Delta Lake to support analytics and business needs.
Build and scale the data infrastructure that powers large language model training, fine-tuning, and retrieval-augmented generation at a national AI program in Singapore, using cloud tools and AI-assisted workflows.
Designs and maintains scalable data pipelines and database platforms for Roche’s global healthcare data infrastructure, using SQL, Linux, ETL tools, and cloud services.
Designs and builds secure, scalable data pipelines and platforms for fraud analytics using Snowflake, Databricks, Spark, and Azure, ensuring compliance with PCI-DSS and Mastercard’s data governance standards.
Designs and operates high-throughput, low-latency ML systems for Expedia’s TravelAds marketplace, automating the ML lifecycle and integrating LLM-powered solutions at scale.
Lead a team building scalable AI/ML pipelines and cloud-native services to extract financial insights from documents, using Python, LLMs, and AWS/Azure/GCP.
A DevOps engineer builds and maintains cloud infrastructure using AWS, Terraform, and Docker, automating data pipelines with Python, Airflow, and Spark.
Lead a team building high-performance Java microservices for global financial systems using Spring Boot, Kafka, and AWS, while mentoring engineers and owning end-to-end delivery.
Build and maintain backend services and data pipelines for a gaming analytics platform using Python, Flask, and GCP, focusing on reliability and cost efficiency.
Principal AI/ML Engineer defines enterprise-wide AI architecture, standards, and roadmap, leading large-scale LLM, Agentic AI, and MLOps/LLMOps platforms.
Build and maintain Snowflake-based data platforms and AI pipelines in Python/Azure to power analytics, automation, and ML-driven insurance products for a UK digital insurer.
Build and scale data pipelines, a modern data warehouse, and backend services for a UK fintech lender, primarily using BigQuery, SQL, and cloud-native tools.
Lead a team to architect and scale Citi’s enterprise data platforms, building high-performance pipelines and feature stores that power AI, machine learning, and real-time analytics across the bank.
Lead a team to build and deploy scalable ML models and analytics pipelines in AWS for media and entertainment use cases like audience analysis, content performance, and marketing optimization.
Senior engineer responsible for platform reliability, automation, and observability in a large enterprise, focusing on Kubernetes, CI/CD, and cloud-native tooling.
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