Try for free
The Everyday Health Struggle
The Everyday Health Struggle

When Trauma Meets Technology: Building Human-Centered AI with Tiffany Sharp

23 August 2026 28:26 Okechukwu Okoro

Listen to episode

About this episode

Okoro Connects with Tiffany Sharp, founder and CEO of Diamond AI, for a powerful conversation about trauma, resilience, entrepreneurship, and the future of human-centered technology.


After more than 20 years leading complex technology and business transformation projects, Tiffany experienced firsthand how trauma can change the way a person thinks, functions, and navigates everyday life. Instead of seeing her experience as something that simply needed to be overcome, she began asking a bigger question: what if the systems designed to help people were part of the problem?


That question led to The Diamond Place, a nonprofit supporting women rebuilding their lives after trauma, and eventually to MAE, a trauma-informed AI platform designed to help people navigate complex health, community, and social service resources.


In this conversation, Okoro Connects with Tiffany to explore what trauma can teach us about resilience, why people in survival mode often struggle to navigate fragmented systems, how technology can become more compassionate, and what it really means to build AI around human needs rather than simply technological capability.


Tiffany also shares insights from her journey as an entrepreneur and technology leader, the challenges of turning personal adversity into innovation, the importance of nervous system awareness, and why the future of AI should strengthen human connection rather than replace it.


A thoughtful conversation about turning pain into purpose, rethinking the systems around us, and using technology to make life a little more human.


More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The Everyday Health Struggle . All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support