2014 - 2016
M.S. in Software Engineering
San Jose State University
Graduate foundation in software architecture, scalable systems, and disciplined engineering delivery.
I am a principal engineer and independent researcher working across production AI, distributed systems, applied research, and open-source software.

San Francisco Bay Area, CA
Professional Summary
Principal Engineer at an S&P 500 company and independent researcher with 13+ years building distributed cloud-native systems.
My current focus is production generative AI and agent-based systems designed for security, observability, reliability, and the practical constraints of large enterprises.
Outside that role, I publish applied research, review technical manuscripts, maintain developer tools, and contribute focused fixes upstream. The portfolio links each item to its original publication, release, issue, or pull request.
Background
Roles and education across software engineering, distributed systems, cloud platforms, and applied AI.
2014 - 2016
San Jose State University
Graduate foundation in software architecture, scalable systems, and disciplined engineering delivery.
2015 - 2017
Hewlett Packard Enterprise
Built data-intensive platform capabilities and production pipelines across enterprise engineering environments.
2017 - Present
S&P 500 company
Builds GenAI and agentic solutions using AWS services, Python, LangGraph, MCP, LLMs, and in-house AI infrastructure. Designs scalable, secure infrastructure stacks for production AI platforms.
Current
Independent work
Bridges production AI architecture with LLM evaluation, RAG reliability, cloud-edge AI behavior, and public developer tooling.