I build production-grade applications, AI systems, trading infrastructure, and cloud platforms. My work sits at the intersection of app development, machine learning, automation, and operator-grade UX.

Current focus: the Nexural ecosystem, a quant trading stack for research, regime detection, backtest validation, live execution support, journaling, and AI-assisted strategy review.

I also run Sage Ideas, an AI-native B2B studio shipping full-stack products, internal tools, automation systems, and cloud infrastructure for operators who need software that works under pressure.

mode founder-engineer
focus AI apps + trading systems
edge ML, automation, cloud, QA gates
markets ES NQ CL GC SI HG ZB RTY
language Python 3.11 / TypeScript
stack Next.js / FastAPI / Supabase / AWS
standard production > prototype

AI-native B2B studio for full-stack software, AI automation, internal platforms, SEO systems, and fractional CTO execution.

Positioning: App development, AI systems, automation, cloud, delivery infrastructure

Institutional-style trading cockpit: quant research, regime-aware workflows, overfit checks, execution support, journaling, and AI copilot concepts.

Positioning: Trading infrastructure, ML signals, futures research, NinjaTrader automation

Creative and experimental brand surface for after-hours ideas, sharper design language, media, and product exploration.

Positioning: Brand lab, creative systems, experimental launches

Professional background, work history, public credibility, and direct contact channel.

Positioning: Principal engineer, product builder, cloud and automation operator

NinjaTrader strategy analysis and development toolkit. Imports trade logs, calculates institutional-grade metrics, runs Monte Carlo simulations, performs overfitting checks, compares strategies, and produces AI-assisted improvement recommendations.

Python 3.11 FastAPI React Electron pytest Monte Carlo Deflated Sharpe Walk-Forward NinjaTrader

Production operating system for Sage Ideas: public site, CRM, contracts, e-signature, billing, client portal, audit logs, admin workflows, and delivery operations in one app.

Next.js 16 React 19 TypeScript Supabase Postgres RLS Stripe Resend Sentry PostHog Vercel

Public product surface for Nexural: fintech/trading brand, pricing, product education, proof, and trading cockpit positioning.

Next.js TypeScript Trading UX Product Design Vercel AI Product Copy Fintech

AWS multi-account foundation focused on guardrails, auditability, least privilege, cost controls, and CI-gated infrastructure changes.

Terraform AWS Organizations IAM SCPs OIDC Security Scanning Cost Controls CI/CD

• AI agents and copilots
• RAG-powered internal tools
• LLM workflow automation
• Voice and support assistants
• Approval queues and human review
• AI quality and evaluation gates

• Trading signal research
• Feature engineering
• Regime classification
• Monte Carlo simulation
• Walk-forward validation
• Overfitting detection

• AWS landing zones
• Supabase/Postgres systems
• Vercel app delivery
• Terraform infrastructure
• CI/CD release gates
• Observability and audit trails

• Next.js applications
• FastAPI services
• Client portals
• Admin dashboards
• Stripe billing flows
• Production test coverage

Trading systems need clean data, realistic costs, walk-forward validation, regime awareness, and explicit anti-overfit checks before any result deserves attention.

The work should become a usable product: admin dashboards, portals, APIs, billing, auth, observability, and deployment pipelines.

Infrastructure should ship with least privilege, CI gates, audit logs, budget awareness, rollback paths, and security scanning from the first commit.