
Russell Ballestrini
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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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To the Hoodie Analytics team:

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.

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.

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.

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
