I am an AI/ML systems engineer with over 10 years of experience designing and shipping production-grade machine learning infrastructure, primarily across financial services and edge-AI product environments. Throughout my career, I have successfully delivered AI-powered products to market, including those on the Microsoft App Store, while strictly adhering to regulatory, security, and auditability standards. My expertise lies in low-latency large language model (LLM) inference, retrieval-augmented generation (RAG) architectures, and real-time data pipelines.
I possess a unique blend of quantitative finance knowledge, including SVaR and risk modeling, combined with hands-on systems engineering skills in C++, accelerated computing, and distributed streaming. I excel at bridging complex technical execution with customer outcomes, ensuring that engineering solutions align with business goals. I have a proven track record of leading global engineering teams and delivering high-throughput platforms in both Wall Street and startup environments.
In my recent role at Konnek LLC, I architected and led the development of a local-first AI platform enabling sub-second LLM inference on consumer hardware, eliminating reliance on external cloud services and enhancing privacy. I designed autonomous agentic AI ecosystems and built modular, cross-platform AI frameworks in C++ and Flutter.
Previously, as Vice President and Quant Developer at Morgan Stanley, I built and scaled real-time financial analytics platforms that improved system latency and throughput by up to 30%. I led distributed teams and drove architecture improvements for critical trading and risk decision systems.
My background also includes modernizing legacy financial transaction platforms into cloud-ready microservices, designing hardware-software co-optimization systems for heterogeneous compute environments, and developing regulatory risk models supporting compliance reporting. I hold a Master of Science in Mathematics and a Bachelor of Science in Actuarial Science, complemented by professional certifications in energy risk and risk management.
