Executive Biography
John Anthony Radosta is a technology executive and L8 AI Engineer with 19 years of experience delivering transformative AI solutions and scalable platforms for Fortune 500 companies, government agencies, and high-growth enterprises.
As Senior Principal AI Transformation Engineer at Synvestable, John has been directly involved in over 100 AI transformations across finance, healthcare, manufacturing, field service, legal, and service agencies.
Based in the Miami–Fort Lauderdale area, John helps mid‑market and enterprise teams turn modern AI and cloud technology into measurable ROI—driving revenue growth, lowering cloud and operations costs, and reducing risk through production‑grade AI systems.
Key Achievements
- Unlocked over $2 billion in TAM and saved $3.5 million for enterprise clients through AI transformation
- Advisor to the White House and U.S. Department of Energy on machine learning, cloud strategy, and data loss prevention
- Lead Engineer for a Top 100 mobile app with over 1 million downloads
- Built a Gartner-recognized data loss prevention solution for AI cybersecurity
- Delivered mission-critical projects for Google, Amazon, Magic Leap, IBM, Wayfair, and Total Wine & More
- Personally written over 10 million lines of code over entire career
- Holds Federal Security Clearance with SOC 2 and FedRAMP expertise
Speaking Topics & Thought Leadership
John is available for speaking engagements, media interviews, and expert commentary on:
View Published Thought Leadership Articles →
AI Transformation & ROI
- Enterprise AI ROI and measurable business outcomes
- Agentic AI governance and agent sprawl management
- Trust architecture and human-in-the-loop AI systems
- AI-native business models and operating systems
- Scaling AI from pilots to production
AI Cybersecurity & Shadow AI
- Shadow AI detection and data loss prevention
- AI agent security and emerging attack surfaces
- Compliance frameworks for AI (FedRAMP, AI RMF, SOC 2)
- Federal cybersecurity and data protection
- Identity management and cloud security resilience
Cloud Economics & Infrastructure
- AI infrastructure economics and unit cost optimization
- Platform engineering and developer experience
- Multi-cloud resilience and disaster recovery
- Cloud FinOps and cost governance
- Infrastructure modernization for AI workloads
Forward-Deployed Engineering
- The forward-deployed engineering model
- Embedding technical expertise with customers
- Enterprise transformation frameworks and change management
- Measuring transformation success and productivity gains
- Building customer-centric technology teams
Professional Credentials
Security Clearances & Compliance
- Federal Security Clearance (Active)
- SOC 2 Implementation Experience
- FedRAMP Authorization Experience
Education
- University of Pennsylvania - The Wharton School | Global Business (2015-2016)
- Ludwig-Maximilians Universität München | Advanced Competitive Strategy (2014-2015)
- Northeastern University | Bachelor's Degree, Entertainment Business, Magna Cum Laude (2004-2008)