I am a senior machine learning engineer and applied AI architect. I design, architect, and implement frontier AI systems end to end; the code is at github.com/sachncs. I take research-stage ideas from use-case discovery through prototyping, evaluation, and sustained production adoption, delivering safe, reliable systems with measurable business outcomes for enterprises.
I work equally well as a senior technical advisor to CTO, CIO, and CISO stakeholders and as a hands-on engineer writing code, building evaluation harnesses, and resolving complex integrations. My work spans models, agents, retrieval, data pipelines, and scalable ML infrastructure, with architecture decisions grounded in reliability, latency, cost, security, privacy, and governance. I collaborate with research and product teams to turn emerging capabilities into production features, build reusable tools and deployment patterns, and help engineering teams adopt and operate the systems they ship.