Summary
Connor Gouge is an ML Operations Engineer with eight years of experience turning NLP research into production conversational AI products that automate high-volume email workflows and improve sales outcomes. He blends a mathematics background with hands-on expertise in Python, PyTorch/TensorFlow, PySpark, Docker, Kubernetes and AWS to build scalable ML pipelines and deploy LLM-powered features as microservices. At Conversica he led efforts that automated tens of thousands of responses, redesigned question-answering with LLMs to cut authoring time by 90%, and optimized models for real-time conversational performance. Based in Seattle, he’s focused on operationalizing best practices for model accuracy, automation, and observability while collaborating closely with product and engineering teams. He’s equally comfortable prototyping advanced NLP solutions and hardening them for production, and is looking to grow operational rigor around LLMs and continuous delivery.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at University of Washington
Certificate Data Science, Certificate Data Science at Galvanize Inc