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Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to move prototypes into production.
Build and optimize AI/ML pipelines and real-time data systems for blockchain intelligence, enabling faster threat detection and insights for crypto businesses and governments.
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
Design and build enterprise-scale data platforms using SQL, Python, Snowflake, and dbt to power analytics, AI-enabled apps, and secure data products for a global cybersecurity leader.
Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Build and maintain the AI platform and data lakehouse, automating operations and integrating services with APIs and cloud infrastructure using Python, Kubernetes, and MLOps tools.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends like Iceberg, ClickHouse, and PostgreSQL to serve trading desks and analytics.
Build production-grade AI tools and data pipelines for the Group CEO, turning executive problems into reliable LLM-enabled workflows and decision-support systems while aligning with maritime and trading operations.
Deploys and maintains AI/ML models, builds data pipelines, and integrates solutions using Python, TensorFlow/PyTorch, and cloud AI services.
Build low-latency crypto trading infrastructure and automated strategies for a global exchange, integrating CeFi/DeFi venues, risk systems, and real-time data pipelines.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Build and lead a real-time risk control platform for crypto payments, integrating fraud detection, credit scoring, and compliance using Java, microservices, and big-data tech.
Build and improve video intelligence solutions for sports using computer vision and ML; enhance detection, tracking, and event recognition in video workflows.
Build, deploy, and maintain production-grade ML models and MLOps pipelines using Python, Docker, Kubernetes, and cloud platforms.
Designs and deploys AI/ML models and GenAI solutions (LLMs, RAG) on Azure and Databricks, embedding intelligence into enterprise data pipelines and lakehouse architectures.
Design and govern end-to-end enterprise GenAI architectures on Databricks, integrating LLMs, vector search, and agentic workflows with Python and Azure.
Build and deploy large-scale AI solutions for enterprise customers, using Python/C++ and cloud platforms, while collaborating with cross-functional teams to solve complex business problems.
Build and deploy AI/ML models and data pipelines to power logistics solutions, working with Python, cloud platforms, and MLOps tools.
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