Charlie O'hara is a Staff Data Engineer and MLOps specialist with a decade of experience building scalable data and AI platforms across AWS, GCP, and Databricks, backed by multiple AWS and Databricks certifications. He designs resilient, cost-efficient lakehouse and streaming architectures that prioritize data quality, observability, and compliance, and has driven production ML deployments from model training to real-time inference and monitoring. As a technical leader and sole data engineer at companies like Standard AI and Zapier, he has owned full platform lifecycles, automated MLOps workflows, and improved data discoverability and experiment governance. Comfortable translating complex technical trade-offs for business stakeholders, he also mentors engineering teams and champions inclusive workplaces through LGBTQ+ ERG leadership. An inventive builder, he created an LLM-powered ChatGPT for Slack using serverless AWS patterns, demonstrating a knack for practical, scalable AI integrations.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Biology, Bachelor's degree, Biology at UC Santa Barbara
Contributions:4 commits, 3 pushes, 1 branch in 4 years 9 months
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