I am a Principal AI/ML Architect specializing in the design and delivery of production-grade AI systems at enterprise scale.
I lead the architecture of systems spanning foundation models, AI agents, retrieval, evaluation, data platforms, and scalable ML infrastructure. My work covers the full lifecycle—from identifying high-value use cases and shaping technical strategy to prototyping, evaluation, production deployment, and long-term operational adoption.
I operate across both strategic and hands-on technical domains. I advise CTO, CIO, and CISO stakeholders on AI architecture, platform strategy, security, governance, reliability, and operating models, while remaining deeply involved in system design, implementation, evaluation frameworks, and complex integrations.
My technical decisions are grounded in reliability, latency, scalability, cost efficiency, security, privacy, governance, and maintainability. I work closely with research, product, platform, security, and engineering teams to translate emerging AI capabilities into durable production systems, establish reusable architecture and deployment patterns, and strengthen the organization’s ability to build, govern, and operate AI at scale.
Selected work: github.com/sachncs