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Build and migrate ETL/ELT pipelines on Databricks and AWS for a global fund-services provider, using Delta Lake, Spark, and AWS Glue.
Build and migrate ETL/ELT pipelines on Databricks Delta Lake and AWS, using PySpark, SQL, and AWS Glue to process batch and streaming data for a global fund-services provider.
Build and deploy AI agents using Databricks Mosaic AI, LangChain/LangGraph, and RAG pipelines; integrate base models and implement MLOps best practices.
Build and deploy AI systems for cost estimation and optimization, including LLM-powered applications and MLOps pipelines integrated with enterprise platforms.
Build and operate the cloud infrastructure, CI/CD pipelines, and Kubernetes clusters that power Blitzy’s AI agent platform, enabling autonomous software development at scale.
Build and deploy AI/ML models and MLOps pipelines to tackle public health and forensic challenges using Python/R, Azure, Kubernetes, and MLFlow.
Build and deploy AI/ML models and MLOps pipelines to tackle environmental, public-health and forensic challenges for New Zealand’s government research agency.
Pre-sales engineer at Databricks who builds demos, runs Spark workshops, and advises customers on data-lakehouse architectures to turn their analytics challenges into actionable solutions.
Lead a team of data scientists to build and deploy ML models that power route-planning software for logistics drivers, cutting waste and improving delivery efficiency.
Senior Data Engineer building scalable data foundations for clinical decision-making, integrating diverse data sources and enabling AI-driven insights across drug development at a global healthcare leader.
Build and optimize a Databricks-based Lakehouse platform for a multi-channel retail business, transforming raw data into scalable, business-ready insights using PySpark, Delta Lake, and Unity Catalog.
Lead data engineering efforts to build and migrate a Databricks-based data lake and ML pipelines for an automotive client, using PySpark, Python, and CI/CD.
Build and maintain MLOps pipelines to deploy, monitor, and scale AI/ML models in production on Azure, ensuring reliability, security, and continuous improvement for DKSH’s AI systems.
Build and deploy ML models, predictive analytics, and AI-powered apps to drive data-driven decisions across DKSH’s markets using Python, SQL, and frameworks like Scikit-learn and XGBoost.
Designs and maintains cloud infrastructure and CI/CD pipelines to deploy and operate AI models in production, collaborating with AI teams and automating ML workflows.
Build and deploy AI models in Python using TensorFlow/PyTorch, then productionize them with MLOps on Azure and Docker; translate insights into business decisions.
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Build and optimize scalable data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure cloud services for enterprise clients.
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Build and productionise ML models for an e-commerce platform, using Python, TensorFlow/PyTorch, and cloud pipelines to improve product recommendations and business decisions.
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