I work at the seam between engineering and the business.

For more than five years I've worked across cloud and cybersecurity, as both an engineer and a technical mentor. I stay AWS-certified in Cloud Practitioner and Solutions Architect Associate not for the badge, but because credibility in the room depends on still being able to do the work. I've designed hands-on projects that simulate real business challenges, restructured delivery to cut organizational cost, and resolved the kind of IAM and architecture issues that only surface under real load.

But the lesson that drives me came from teaching. As a technical mentor, for Udacity's Cloud Developer program, the ALX AWS program, and currently ALX Cybersecurity, I've supported thousands of engineers across large global cohorts, sustaining live-session satisfaction above 90% and helping learners reach certification and career readiness. Mentoring at every level isn't a side project; it's the conviction that engineers should think like the business from the first system they build.

I've also helped shape how these programs work: co-authoring operational playbooks and a technical-mentor blueprint, and contributing to organization-wide initiatives, including research, female-activation strategy, and the integration of AI into core delivery. That last thread matters to me most. As AI makes running the tools easy, the durable edge becomes judgment, knowing which trade-off, which system, serves the business. So I build AI into how I work and teach, while keeping the human judgment at the center.