khoa nguyen | Senior Machine Learning Infrastructure Engineer

Khoa Nguyen Senior Machine Learning Infrastructure Engineer | Agentic AI (MCP) | MLOps, Distributed Systems & Scalable ML Platforms Fountain Valley, California, United States (US) 485 connections • 488 followers About I’m a Senior Machine Learning Infrastructure Engineer at Intuit with a passion for building reliable, high-performance, and cost-efficient AI systems that move from prototype to production at scale. Most recently, I spearheaded a high-visibility VP-sponsored project, personally delivering 7 of 9 Model Context Protocol (MCP) tools that enabled agentic AI capabilities for financial customer support workflows. I’ve also driven major infrastructure wins, including leading $4.3M/year cost optimization initiatives (delivering $850k/year in compute savings and $3.5M in storage cost reductions), engineering a 7000x speedup in critical backfill and training dataset operations, and architecting a declarative feature platform expected to reduce feature engineering costs by ~77% while accelerating pipeline creation 30x. My expertise lies in MLOps, distributed systems, real-time stream processing (Kafka + Spark), autoscaling, orchestration, and building fault-tolerant ML platforms. I thrive at the intersection of machine learning and large-scale software engineering — turning complex infrastructure challenges into measurable business impact. Previously, I spent several years as a Software Engineer in Orange County, modernizing legacy systems and leading high-impact data migrations for both government and manufacturing organizations. I’m particularly proud of stepping up during a critical manufacturing migration crisis, reducing a 4-hour planning operation to 8 minutes and saving the entire project. I’m now actively exploring new opportunities in ML Infrastructure, AI Platform, and MLOps roles at forward-thinking AI companies focused on positive societal impact (especially in AI safety, space exploration, healthcare, or industrial productivity). If you’re