Developing agentic systems that augment human capabilities through human-in-the-loop AI.
Agent evaluates investment opportunities using financial analysis and market data synthesis.
Agent assists in preparing tax returns by guiding collection and validating information.
Voice-first agent for household grocery management and inventory tracking.
Brainstorming and validating AI agent concepts that solve real operational pain points through domain research and expert interviews.
Building functional proof-of-concepts to validate technical approach and demonstrate core capabilities with human-in-the-loop validation.
Collaborating with domain experts and early adopters to refine the solution through real-world testing and co-development.
Building a production-ready MVP with enhanced features, robust error handling, and scalable deployment architecture.
Custom agent orchestration systems for complex workflow automation with human oversight controls.
Systems that synthesize domain-specific knowledge with real-time data and expert validation.
Interface patterns that enhance rather than replace human expertise through intelligent assistance.
Agentic systems transform minimal human effort into massive impact. This is the power of AI in knowledge work when precisely integrated with human expertise.
Systematic analysis of existing workflows identifies areas for AI leverage, and process redesign defines where to implement agentic workflows for reliable, high-volume tasks. Human expertise is focused mostly on complex, high-value decisions and final quality checks.
An intelligent mixture of augmentation and control creates a superior, more productive, and reliable process than either humans or agents could achieve alone.
20-year career focused on high-impact roles in Fintech, E-commerce, Strategy Consulting, and Corporate Development. Leveraging a robust academic foundation in AI/ML, Finance, and Engineering.
