About Me
I'm an Applied AI Consultant helping companies build reliable, scalable AI systems that deliver business value.
My Background
With 4+ years spent at HRS designing data pipelines and deploying ML models for enterprises and fast-growing startups, I've seen firsthand how teams get stuck in technical loops that don't deliver value. My approach combines technical expertise with a relentless focus on business outcomes. I've explored reinforcement learning and robotics, including time spent at NYU's Courant Institute.
Lately, I've gone deep into building RAG Systems, Model-Context Protocol (MCP), Agentic Frameworks, and Coding Agents. I've also developed open-source projects such as HICA, a Highly Customizable Agent Library for building deterministic AI agents, and MCP Auth Guard, an intuitive authorization middleware for MCP tools with type-safe policies.
I believe MCP is a foundational piece for AI-native automation. I've contributed to the fastmcp library and continue to experiment with ways to make tool-based LLM systems more powerful and reliable.
How I Work
I partner with teams to overcome common AI implementation challenges by focusing on practical solutions and results over theory. My experience spans across various industries including HRTech, Insurance, and Travel, helping teams navigate the complexity of building production-ready AI systems.
Philosophy
I believe that successful AI implementations require balancing technical excellence with real-world business impact. Too often, teams get caught in endless debates about architecture or chasing the latest AI trends, while losing sight of what matters most: building systems that solve real problems for users.