About

Throughout my career, I’ve successfully combined multidisciplinary domains—ranging from neuroscience, software engineering, specialized hardware development, and advanced data analytics—to develop integrated technology solutions. I’ve led diverse teams, scaled early-stage ideas to market-ready products, and applied sophisticated AI and machine learning models to complex datasets to uncover novel insights and opportunities.

Whether you are pursuing a breakthrough technological venture or seeking a trusted scientific advisor to navigate complex technical and scientific landscapes, I bring clarity, strategic thinking, and practical implementation to support your goals.

AI, Agency & Specialized Intelligence

My background in neuroscience profoundly shapes how I approach artificial intelligence. The brain isn’t one big general-purpose processor—it’s a highly specialized system with distinct circuits adapted for perception, memory, decision-making, and action. This principle guides how I build and use AI systems: not as monolithic models, but as interconnected, specialized components that together form agentic, adaptable architectures.

At Poros Labs, I apply this perspective to build intelligent systems that combine generative models, geometric deep learning, and decision-centric logic. Whether it’s building agentic workflows, integrating domain-specific models, or mapping reasoning structures onto product pipelines, my approach balances inspiration from biology with real-world execution.

I view AI not just as a tool, but as a medium for encoding goals, adapting to constraints, and uncovering emergent insights—much like the nervous system does through feedback, specialization, and learning.