Founded Always Cool AI to transform how organizations understand and trust their AI systems. My focus is building the observability layer that explains what AI agents are doing, how to optimize them through evaluations, and how to maintain compliance across regulated industries.
AI Observability & Optimization:
- Agent Explainability: Creating comprehensive observability stacks that demystify AI decision-making, showing exactly what agents are doing and why
- Continuous Evaluation: Implementing both human-in-the-loop and LLM-as-judge evaluation frameworks to optimize agent performance and ensure alignment
- Production Monitoring: Building OpenTelemetry-based systems that provide real-time visibility into AI behavior, performance metrics, and drift detection
Cross-Industry Compliance Expertise:
- Leveraging years of experience from Oracle Cloud Infrastructure (OCI) to build enterprise-grade AI systems
- Expanding proven methodologies from FDA-regulated food supply chains to nuclear safety systems and financial services
- Partnering with teams to uplevel their compliance capabilities while maintaining innovation velocity
What Makes Us Different:
- We don’t just build AI - we build AI you can explain, optimize, and trust
- Every system includes comprehensive observability from day one
- We bring battle-tested compliance frameworks from the world’s most regulated industries
Always Cool AI exists because I believe the future of AI isn’t about black boxes - it’s about transparent, observable systems that teams can understand, optimize, and confidently deploy in production.