M.S., Artificial Intelligence
I built RaveMinds as an AI innovation platform for FinTech, a place to conceive, engineer, and release pragmatic AI against real trading-floor and payment-rail problems. Open-source projects, applied research, and architectural playbooks are the outputs; bi-weekly lab cycles keep the pipeline moving from problem statement to runnable systems.
The platform is grounded in nearly twenty years of my work designing and modernizing mission-critical infrastructure at tier-one institutions: high-frequency trading platforms, international payment gateways, and large-scale cloud transformation on AWS.
Connect & CollaborateEnterprise background combining hands-on engineering execution with high-level architectural strategy across tier-one financial institutions.
Designed and architected fault-tolerant, high-volume trade balancing engines on AWS, replacing legacy mainframe batch processes with real-time trade reconciliation platforms.
Served as Vice President and AWS Technical Lead, spearheading the global expansion of the Unified Payments Gateway into international markets like Brazil and optimizing payment API performance by 40%.
As a consultant, led cloud modernization for mission-critical trading platforms, systematically decoupling legacy mainframes into high-availability microservices.
As a consultant, delivered key data and cloud transformation projects for major global enterprises, including Apple, Safeway, and State Street Bank.
Practical Applications of Local AI in Capital Markets and Payments
Series 1RaveMinds.AI is the public face of the platform: an open innovation layer where financial operations meet production-grade AI, including risk intelligence engines, fraud detection frameworks, automated settlement systems, and the reference implementations teams can evaluate and extend.
Explore projects, research, and platform releases at raveminds.ai.View lab projects on RaveMinds →
For strategic advisory, venture discussions, or institutional partnerships.