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-based applications (e.g., AWS, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with
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risk mitigation. Develop decision-support tools (scripts, dashboards, APIs) that translate complex analyses into user-friendly insights for producers and advisors. Apply statistical learning/ML (e.g
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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Experience with data management and extraction tools, data lakes, data warehouses, and data modeling techniques Experience with API development and containerization technologies (e.g. Docker, Kubernetes