Frank Triantos

Background

About Frank Triantos

My career looks like a series of wild pivots. In reality, I’ve spent 20+ years following interesting problems—and developing the resilience to navigate high-stakes environments.Solo Launchpad: Tech & SiriusXMI bootstrapped my first company and built LCATS for the FAA—a prototype for inventory and standards maintenance across facilities. That led to a surreal detour: guest co-hosting on national SiriusXM. Tech logic + live broadcasting opened unexpected doors.Oil & Gas: Industrial-Scale LogicEntering Texas and Oklahoma, I leaned on FAA governance experience—NDAs and cross-functional agreements—to bridge the gap. Beyond acquiring my first two wells ft and ft), I grew that operation to hold many thousands of acres of operating leases. I devised laser-based tank utilities, negotiated hauling contracts with Sunoco, and leveraged market downturns for advance-purchase drilling deals. I authored my own lease agreements and learned risk mitigation through trial.The Real Estate PortfolioI built and exited a multi-family real estate portfolio that served as a strategic stabilizer. When market shifts or partnership complexities hit, the portfolio provided the liquidity to de-risk situations, funding the bridge back to my technical roots without compromise.Back to the KeyboardI’ve traded the title for impact. In recent roles at Shift4, I’ve applied lessons in governance and industrial standards to the software footprint. I now focus on the predictive qualities of AI, keeping the "blue book" engineering measurability of my past projects in mind.Now: AI-Augmented EngineeringI’m channeling 20+ years of bootstrapping and a Johns Hopkins AI cert into projects like Wrangler AI—using FAA-era inventory logic to build a predictive marketplace for employee skill gaps. Rapidly re-engineered solutions are the byproduct; the focus is measurable, provable outcomes delivered with AI-augmented efficiency.The Bottom LineI use AI to architect around the pitfalls I’ve lived through, leveraging it for the predictive precision required to de-risk complex systems. I want to be noticed by builders who value those who have actually run the show.Core CompetenciesArchitecture: Node.js, Nest.js, TypeScript, Rust (WASM/Backend), PythonData & ETL: Shift4 Payments, Postgres, Redshift, MongoDB, OracleCloud: AWS, GCP (Vertex AI, Cloud Run), CI/CDSpecialties: Process Documentation, Risk Mitigation, AI Strategy