01Resumepublic narrative

Selected work for applied AI and forward-deployment roles.

Self-taught engineer, came up through quantitative trading and more than a decade of building systems where mistakes cost real money. Now focused on applied AI: voice agents on live calls, infrastructure for coding agents, and defense layers for AI-powered support. The throughline is shipping. Take a strong model, then build the software around it that holds up with real users.

Current highlights

01More than a decade building production systems across trading, marketplaces, developer tooling, and AI.
02Recent work: voice agents on live calls, infrastructure for coding agents, and AI defense layers.
03Strongest where a powerful model still needs real engineering to survive contact with users.

Positioning

The focus is applied AI that ships: voice agents, agent infrastructure, and AI defense. Earlier trading and crypto work is here too, where it shows research discipline and a healthy respect for uncertainty.

Applied AIAgent infrastructureAI defenseEvaluation

·Early systems that have to work in the real world, not just the slides.
·The messy seam where the model meets the product and the user.
·Infrastructure, applied AI, and forward-deployed work that ships to real users.

02Selected systems4 flagship proofs

Voice AI Receptionist

CTO

·Built a phone-first AI intake system for non-emergency patient transport, combining real-time ASR, dialogue control, structured capture, and safe handoff to human operators.
·Built the production layer around the model: telephony-aware latency handling, outcome coding, session persistence, perf traces, and JWT-gated results for downstream teams.

Houseparty

Founder / Builder

·Built a local-first multi-agent orchestrator for Claude Code and OpenAI Codex, with each agent running in a persistent PTY rather than a one-shot subprocess.
·Designed a Rust daemon plus Next.js dashboard for agent supervision, shared and per-agent memory, project-scoped MCP configuration, resumable sessions, and Telegram remote control.

Norse3

Co-founder / CTO

·Built safeguards middleware for customer-facing AI and support workflows, with moderation in the live message path rather than as an offline classifier.
·Designed explicit trust boundaries around signed moderation notes, verified webhooks, incident logging, and operator-facing review surfaces.

Ashlock Trading

Founder / Research systems

·Built a three-strategy research stack with separate capital and risk boundaries across live options, intraday crypto microstructure research, and shared reporting.
·Added a validation layer with bootstrap confidence intervals, Monte Carlo path checks, and walk-forward analysis to make uncertainty visible instead of hiding behind point estimates.

03Recent experience3 recent roles

Healthcare Voice AI (Stealth)

Chief Technology Officer (CTO)Dec 2025 – Present

·Leading development of an AI voice operations platform for ambulance and non-emergency patient transport workflows, automating booking, rescheduling, reminders, and exception handling with safe escalation to human dispatchers.
·Built a low-latency real-time voice pipeline combining streaming ASR, LLM-based dialogue and decisioning, and neural TTS; established evaluation harnesses for latency, transcription quality, and conversation-success metrics.
·Designed structured action capture, session persistence, and audit logging around clinical rules and service policies so the system could support governance and post-incident review.

Norse3

Co-founder and CTOJul 2024 – Present

·Built a safeguards middleware platform between end users and AI or human agents, providing real-time policy enforcement, monitoring, compliance controls, and operational review surfaces.
·Designed a modular system spanning secure messaging, embeddable chat, layered detection, signed privileged writes, incident logging, and an admin console for governance and investigation.
·Shipped authenticated APIs, WebSocket streaming, rate limiting, helpdesk integration, audit trails, and RBAC-backed policy controls for production use.

Edtech Games Development

AI Engineer (Project-based)Sep 2024 – Jan 2025

·Built GenAI workflows for summarization, podcast synthesis, and automated content publishing, with prompt orchestration and evaluation loops to support rapid iteration.
·Prototyped storyboard-to-video tooling that combined frontier image and video models with rendering and asset pipelines for education and media use cases.