# Gregory Kabakian > AI / ML Engineer | LLM Systems, MLOps, Production ML Pipelines | AWS Location: San Jose, California, United States Profile: https://flows.cv/gregorykabakian I’m an AI / ML Engineer specializing in LLM systems, MLOps, and production-scale ML pipelines. At Eventbrite, I own and deliver ML infrastructure on the Consumer Ads team, including end-to-end model observability pipelines used to evaluate production models (AUC, precision–recall, confusion matrices, offline vs online comparisons). My work focuses on making ML systems reliable, cost-efficient, and production-ready at scale. Previously, I led AI and data initiatives at Revstar, where I architected and shipped production GenAI and RAG platforms on AWS, built reusable LLMOps and data pipeline templates, and mentored engineers on delivering real-world AI systems. I’m passionate about bridging applied machine learning and systems engineering, turning LLMs and complex data workflows into ML platforms that teams can trust in production. ## Work Experience ### Software Engineer (Machine Learning) @ Eventbrite Jan 2025 – Present | United States • Own and deliver production ML infrastructure on the Consumer Ads team, including an end-to-end model observability pipeline. • Implemented evaluation and analysis workflows using SageMaker to assess production models via AUC, precision–recall, confusion matrices, and offline vs online prediction comparisons. • Optimized ML pipelines for performance and cost, reducing storage by ~89%, memory usage by ~97%, and runtime by ~50%. • Support on-call rotations and serve as incident commander during production incidents, helping ensure ML system reliability. ### Data & AI Lead @ RevStar Jan 2025 – Jan 2025 • Spearheaded the launch of a new company practice focused on enabling clients to fast-track GenAI and data pipeline adoption on AWS • Standardized and templatized repeatable delivery patterns, creating internal quickstart frameworks that accelerate production and maintain quality • Trained and mentored engineers on best practices for delivering production-grade GenAI solutions and modern data architectures • Acted as AI Solutions Architect in technical discovery and scoping calls, translating client pain points into actionable technical strategies using AWS-native services • Scoped and delivered solutions for multiple AWS startup clients, including RAG pipelines, data lake integrations, and GenAI-based automation workflows ### Software Engineer II @ RevStar Jan 2025 – Jan 2025 | United States • Led the development of AI-driven applications using AWS Bedrock and RAG for business automation. • Designed and optimized backend systems with Django, PostgreSQL, and AWS for high performance. • Built and maintained Vue.js frontend applications, ensuring seamless user experience. •Mentored junior developers, conducted workshops, and contributed to setting coding standards and best practices within the engineering team. ### Software Engineer I @ RevStar Jan 2023 – Jan 2025 | United States ### Software Engineer @ Jatango Jan 2023 – Jan 2023 | United States ### Software Engineer Intern @ Pathrise Jan 2021 – Jan 2021 ## Education ### Bachelor of Science - BS in Computer Engineering UC Irvine ## Contact & Social - LinkedIn: https://linkedin.com/in/gregorykabakian --- Source: https://flows.cv/gregorykabakian JSON Resume: https://flows.cv/gregorykabakian/resume.json Last updated: 2026-04-11