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Builds and optimizes data pipelines and real-time systems for a major bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Build and deploy AI-powered software solutions, integrating ML models (PyTorch/TensorFlow) with full-stack development in Python and cloud platforms like Azure.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, focusing on healthcare data pipelines and ETL/ELT workflows.
Build secure, scalable data infrastructure for AI-driven semiconductor manufacturing, including ETL pipelines, data lakes, and governance for sensor and process data.
Design and build scalable data pipelines and platforms to power analytics and AI solutions using cloud technologies like AWS, Databricks, and Snowflake.
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, migrating and modernizing healthcare data pipelines and ETL workflows.
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Lead AI-powered analytics and Agentic AI solutions to drive business performance across ASEAN & South Pacific, building predictive/prescriptive models and deploying scalable ML systems using Python, Azure, and Databricks.
Build and optimize scalable data pipelines on Databricks (PySpark, Delta Lake) in Azure, design Medallion architectures, and collaborate with data scientists and BI teams.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents on AWS SageMaker to automate insurance workflows and support data-driven decisions across the business.
Build and maintain the core AI/ML development platform for UBS RiskLab, working as a full-stack developer with Python, React, and Azure services while collaborating with data scientists and IT teams.
Design and deploy enterprise-scale AI systems for banking, integrating LLMs and ML platforms while ensuring regulatory compliance and high availability.
Build and automate scalable MLOps platforms and AI infrastructure, deploying ML pipelines on Kubernetes and cloud-native environments to support data scientists and AI engineers.
Lead a team to design, build, and deploy AI models for Saudi Aramco’s business units, turning data into predictive insights and production-ready solutions.
Design and deploy enterprise AI systems for banking, integrating LLMs and ML platforms with core financial systems while ensuring regulatory compliance and scalability.
Build and deploy AI models to improve player experience in Kammelna Games, including churn prediction and personalization, using Python, ML frameworks, and MLOps tools.
Build and deploy ML models for predictive maintenance and energy optimization using Python, FastAPI, and Azure ML in ETAP’s electrical digital twin platform.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to productionize insurance-focused solutions.
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