Jonathan A. Reynolds
Chief Technology Officer at Stealth Startup
Atlanta Metropolitan Area, United States
About Jonathan A. Reynolds
Jonathan A. Reynolds is Chief Technology Officer at Stealth Startup. Location: Atlanta Metropolitan Area, United States.
I build systems that scale—whether that means designing world-class cloud infrastructure for global impact or engineering autonomous AI agent pipelines to power a diverse portfolio of businesses. With over a decade of experience across software engineering and cloud infrastructure—including seven years at Capital One and my current role as a Cloud Demo Platform Engineer at Google—I operate at the intersection of enterprise cloud architecture, systematic automation, and technological entrepreneurship. Beyond my corporate career, I am a multi-passionate founder who views business architecture through the lens of pure automation. Rather than trading time for money, I build customized multi-agent AI networks using frameworks like LangGraph, Gemini, and Claude API to handle everything from complex financial research to programmatic content pipelines. My Current Portfolio Black Star Kapital Trading Group LLC: A completely automated, systematic options trading business powered by a custom LangGraph pipeline that handles scanning, technical research, and risk management. Code Your Edge: A technical publishing platform and educational community helping traders transition from manual discretionary trading to systematic, code-driven execution. Flavor Fuel: Flavor Fuel empowers healthy living through intelligent, personalized nutrition that makes achieving your fitness goals effortless and sustainable. We give everyday people access to the same resources professional athletes have — chef-prepared meals that taste great and are precisely calibrated to their goals — eliminating the false choice between eating well and eating bland. Core Technical Moats Cloud Infrastructure: Enterprise GCP architecture, distributed systems, automated CI/CD pipelines, and high-availability database design. AI Knowledge Engineering: Designing multi-agent systems, structured LLM prompt engineering, brand-voice injection, and agent-driven autonomous workflows. Systematic Frameworks: Translating complex real-world logic (from options trading strategies to multi-tiered marketplace fulfillment) into rigid, high-performance code. By enforcing a strict rule of building one business at a time and driving everything toward automated steady-states, it is entirely possible to scale meaningful ventures while excelling in a full-time tech career. Let's connect if you are interested in cloud infrastructure, autonomous AI agents, algorithmic trading, or systematic entrepreneurship. :
Skills
Additional experience
Cloud Demo Platform Engineer, Google Cloud
Google
Started December 2025
Education
- Master of Professional Studies (M.P.S.), University of Maryland
- Bachelor of Science (B.S.), University of Maryland