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Russell Ballestrini
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===================
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**AI Automation & Integration Engineer | Hoodie Analytics**
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russell@unturf.com | `russell.ballestrini.net <https://russell.ballestrini.net>`_ | `GitHub <https://github.com/russellballestrini>`_
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----
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To the Hoodie Analytics team:
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Data pipelines, Python automation, AI agents, & AWS infrastructure. I've built all four in production, often wiring them together into systems that run without babysitting. I have 15+ years of production Python & I've built web scrapers, data processing pipelines, & ETL workflows. At Remind, I managed infrastructure processing millions of messages daily across 60+ microservices with RabbitMQ. I write the kind of Python that handles edge cases, retries gracefully, & logs what matters.
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At Coursemojo, I built AI-powered education content generation using LLMs for 60,000+ public school students. I built uncloseai-speech, a real-time speech API in FastAPI handling concurrent audio workloads with streaming responses. I understand prompt engineering, API orchestration, & the practical challenges of making AI outputs reliable in production workflows. REST APIs are core to my work. At Make Post Sell, I integrated 4 cryptocurrency blockchain APIs with webhooks, polling, & confirmation tracking. At unsandbox.com, I built a multi-tenant code execution PaaS in Elixir with structured input/output across 42+ programming languages.
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My AWS experience spans 10+ years: EC2, ECS, RDS, SQS, Lambda, S3, CloudFormation. At Remind, I supported infrastructure for 30M users. I understand serverless patterns, container orchestration, & cost optimization. I've bootstrapped four SaaS businesses. When you're the only engineer, you automate everything or you don't survive. I've built deployment pipelines, monitoring systems, & data workflows that let small teams punch above their weight.
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I'm interested in how Hoodie Analytics is using AI to solve data integration challenges. Happy to discuss how my background fits your team's needs.
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Russell Ballestrini
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