I turn complicated, high‑stakes information into something people can act on.

At the University of Technology Sydney I ran IoT air quality sensors through a multi-story campus building for five months, then used Python and Power BI to answer a question people could use: where in this building are occupants breathing the worst air, and why. I deployed and calibrated the sensors, built the pipelines that cleaned and analyzed the data, and ran occupant comfort surveys alongside the readings.

The indoor area closest to the building entrance exceeded double the WHO PM2.5 threshold for more than 80 percent of the study period.

Local outdoor readings ran roughly 2.5 times higher than the nearest regional monitoring station, so regional stations are not a reliable reference for the air people breathe in a specific building.

First author, Measuring the fine particulate exposure levels of building occupants using localized sensors, Building and Environment, Volume 242 (Elsevier, 2023).

Preferred Communities is a federally funded program providing intensive case management to refugees and immigrants who need more support than standard resettlement services offer. I read federal policy updates and turn them into guidance my team can follow on a Tuesday morning: intake, eligibility, enrollment, and self-sufficiency planning for clients across a wide range of cultural and linguistic backgrounds.

Compliance here is not paperwork. It decides whether a family receives support they qualify for.

I run the program audits, manage the budget, and supervise interns, volunteers, and associates through hiring, onboarding, and training. I maintain data quality across the Apricot and IRIS case management systems, and I apply trauma-informed care principles in every client interaction.

Austin AI Hub is a 501(c)(3) with more than 500 members working on accessible AI education and ethical AI innovation. I design the programs and events, and I write the grant proposals that fund them. I work alongside researchers, engineers, and community leaders to keep the programming technically credible and still legible to people who do not build these systems.

Tynrose Secure is a boutique IT and cybersecurity firm serving defense, healthcare, and financial services organizations, typically 25 to 200 people. Managed IT and managed security are the core service, run to a single operational standard, with compliance readiness attached on top: NIST 800-171, CMMC, SOC 2, HIPAA. I map those requirements onto the security operations already in place, so certification becomes a byproduct of running well rather than a separate project.

The requirement is usually what starts the conversation. What they actually need is someone accountable at 2am.

I translate technical and regulatory requirements into plain business language for buyers meeting them for the first time, and I build the account intelligence behind each conversation rather than working from a list. I am building toward AI governance, where this matters most: helping organizations understand what these systems do, where the risk sits, and what responsible use looks like in practice rather than on a slide.

I trained as an architect before any of this. The studio teaches a sequence you keep using long after you leave it: read the constraints, learn who has to live inside the result, then build something that stays standing. I use it on sensor networks, compliance programs, grant strategies, and security operations.