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Eric Owens
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Austin, Texas, United States
Résumé
Jobs
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- CSenior AI/ML EngineerCornelis NetworkApr 2022 - Current (4 years 7 months)• Architected a scalable RAG platform on GCP using Vertex AI, Cloud Storage, and BigQuery, reducing model response latency by 42% while serving 1.2M queries per month.
• Orchestrated agent workflows with LangChain, ADK, and LangGraph, increasing deployment throughput by 3x and enabling modular retraining pipelines across 5 squads.
• Deployed and finetuned 7 production LLM variants on Vertex AI using PyTorch and TensorFlow, improving domain accuracy by 18% on benchmark tests.
• Implemented microservices and public APIs with FastAPI and Django, integrating OpenAI and Hugging Face endpoints to cut integration time by 60% for partner apps.
• Integrated vector search using Pinecone and FAISS, indexing 15M embeddings and impro 
AI EngineerResilienceOct 2021 - Mar 2022 (6 months)• Designed an end-to-end ML pipeline for clinical NLP using Python, PyTorch, and scikit-learn, reducing training time by 35% and improving F1 by 10%.
• Built a RAG prototype leveraging LangChain and FAISS, enabling semantic retrieval across 2M documents with 87% precision for discovery workflows.
• Tuned prompts and chain-of-thought workflows for enterprise QA using OpenAI and Hugging Face, cutting hallucination rates by 20% on evaluation sets.
• Configured model serving on GCP Vertex AI with autoscaling to support 200 concurrent inference requests and maintain 95% uptime during peak loads.
• Validated model drift and data quality with monitoring alerts, triggering retraining when performance degraded by more than 5% ove- Software Engineerbluebird bioMar 2019 - Sep 2021 (2 years 7 months)• Engineered scalable genomics data pipelines in Python and Docker, processing 500K sequencing records weekly and reducing batch turnaround by 48%.
• Processed clinical and omics datasets into feature stores and PostgreSQL, increasing model training throughput by 30% for predictive assays.
• Optimized ML workflows with TensorFlow and scikit-learn for variant calling, improving recall by 14% on validation cohorts and enabling faster clinical insights.
• Migrated 12TB of legacy analytics to BigQuery, cutting aggregate query costs by 37% and accelerating cross-team reporting by 4x.
• Instituted CI/CD for model packaging and deployment using Kubernetes and GitHub Actions, decreasing deployment errors by 67% across pipelines. - Frontend EngineerIBMNov 2016 - Mar 2019 (2 years 5 months)• Developed interactive dashboards in React and TypeScript, increasing user task completion by 28% for enterprise analytics tools.
• Modernized legacy UI to Angular components and a shared design system, reducing bundle size by 34% and improving first-load time.
• Ported the design system to Tailwind CSS and responsive layouts, increasing component reuse to 82% across internal apps.
• Improved frontend-backend integration patterns with FastAPI-backed mocks and REST, cutting integration bugs by 45% during releases.
• Maintained accessibility and performance SLAs, reaching 95% Lighthouse scores on key customer-facing pages.
• Accelerated client-side testing with Jest and Cypress, raising test coverage to 78% and reduc
Education
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- Bachelor of Computer ScienceOregon Institute of TechnologyJan 2014 - Jan 2016 (2 years 1 month)