Teresa Escrig

Teresa Escrig

AI Career & Adoption Mentor @ What Matters Academy
Empowering Leaders & Tech Pros to Master AI Fundamentals, Drive Adoption, and Pivot into AI Roles
United States of America
Speaks English, Spanish and Catalan
Active last month

Services

$360 / month

Get up to speed on AI basics, fast‑track your transition into AI leadership, or get a fractional CTO

2 calls per month (45min/call)

Unlimited Q&A via chat

Expect responses in 2 days

Hands-on support

Save to wishlist

No spots left, but you can save the mentor to your wishlist to get notified about their open spots!

Book now
View all sessions

About

I’m a Fractional CTO + AI Career & Adoption Mentor helping leaders and tech pros master AI fundamentals, adoption strategy, and career pivots.

I teach executives AI basics for strategic decision making, design adoption roadmaps that drive business value, and guide tech professionals through skill gap analysis, portfolio building, and interview prep to transition into AI roles.

I’m Dr. Teresa Escrig—an awarded AI pioneer with 30+ years leading cognitive computing, machine learning, robotics, and enterprise AI at Microsoft, Accenture, and my own startups. I’ve authored 130+ peer‑reviewed papers, written the book Safe AI, trained over 500 engineers, and secured millions in R&D funding. From autonomous driving control modules to DNA‑sequencing classifiers, my focus is always on building transparent, responsible systems that deliver measurable business impact.

💬 Ask Me About:
• AI fundamentals for leaders
• Crafting AI adoption strategies
• Pivoting tech careers into AI roles
• Building high impact, low headcount AI teams
• Responsible AI governance & bias mitigation

✨ Fun Fact: Beside AI and solving hard problems responsibly, I love my spiritual practice, painting, sewing, building and gardening!

Feel free to reply if you have any questions before our call. I look forward to diving in and helping you reach your AI goals!

Skills

AI Strategy & Roadmapping Responsible AI & Ethics Critical Evaluation of AI Machine Learning Fundamentals Problem‑Solving with AI AI Strengths & Weaknesses Career Development in AI AI Tool Selection & Adoption Change Leadership Innovation & Productization Product Strategy Automation autonomous cars problem solving