Full stack engineer and applied AI researcher leading a bootstrapped R and D holding company focused on AI infrastructure, topological data analysis, and developer platforms. Currently pursuing a Master of Science in AI and Data Science at Colorado State University Global.
At Axion Deep Labs, I lead research at the intersection of algebraic topology and deep learning, investigating whether loss landscape geometry can predict catastrophic forgetting in neural networks. Our PERSIST project spans 57 experimental configurations across 19 architectures and 3 datasets, with work submitted to CoLLAs 2026 and an NSF SBIR Phase I application in progress.
In parallel, I design and ship production systems across a growing product portfolio including Site2CRM, an AI driven lead capture platform, Made4Founders, a founder command system, Vesper, an autonomous penetration testing engine, Forma, a full stack React platform, and QUANTA, a quantum computing education system.
Core stack includes Python, PyTorch, FastAPI, React, TypeScript, Next.js, PostgreSQL, AWS, and Docker. Research focus areas include persistent homology, continual learning, loss landscape topology, and machine learning diagnostics.
Made4Founders is a centralized command platform designed for founders to manage products, growth, operations, and execution from a single unified system.
DeepAudit AI is a real browser SEO audit engine that uncovers what search engines actually see and shows you exactly how to fix it.
Site2CRM is an AI driven lead capture and conversion platform that identifies, scores, and routes high intent website visitors into your CRM automatically, helping teams turn traffic into revenue without friction.