Full-stack and systems engineer with production experience across TypeScript/React web applications, Go and Python services, APIs, applied AI, and real-time systems.
Client engagements
50+
Production web applications across B2B SaaS, fintech, and AI tooling
Systems work
Go/C++17
Control planes, storage engines, realtime data, and API boundaries
Quality gates
CI/CD
Automated testing, deterministic modes, eval fixtures, and documentation
Positioning
I build and maintain production web applications, backend services, API integrations, applied AI workflows, and real-time interfaces. My work spans TypeScript/React frontends, Go and Python services, CI/CD, observability, and documentation.
I also use modern AI coding assistants to accelerate implementation while reviewing, testing, debugging, and taking ownership of generated code before it is integrated.
Selected projects
Built a Go control plane exposing an HTTP/JSON API with backpressure, a cardinality guard, Prometheus self-metrics, and a C++ storage engine with Gorilla compression and a crash-safe write-ahead log.
Systems and backend engineering
Built a production AI workflow with structured outputs validated server-side before persistence, deterministic CI behavior, regression/eval fixtures, failure handling, and audit/history layers.
Full-stack AI product engineering
Built a low-latency interface for sustained live market-data streams using workers and buffered queues while preserving responsive rendering.
Frontend and realtime systems engineering
Case studies
Shows backend and systems depth beyond frontend polish: binary protocols, crash recovery, shared-memory ingest, consistency tradeoffs, observability, and test discipline across two runtimes.
Systems & backend engineering
Shows product-grade frontend architecture for high-volume data UI: predictable state, table ergonomics, performance budgets, and calm scanning under pressure.
Design & build
Shows secure frontend thinking, scoped ingestion, Redis-backed telemetry, dashboard UX, and the ability to turn education into a real product workflow.
Design & build
Shows realtime product engineering: workers, buffered queues, coalesced renders, calm motion, and instrumentation that explains whether the chart can be trusted.
Design & build
Shows agentic AI design: structured handoffs between specialized models, embeddings as a tool rather than a feature, streaming UX as a first-class concern, and a clear distinction between when an LLM is the right answer and when it isn't.
Design & build
Shows applied AI product thinking: schema-first output, server-side risk boundaries, independently editable surfaces, persistence, and eval-minded architecture.
Design & build
Impact
Skills
React / Next.js / TypeScript / Tailwind CSS / Zustand / TanStack Query
Go / Node.js / Python / REST / HTTP/JSON / WebSocket / SSE / PostgreSQL / Zod
AWS / Docker / GitHub Actions / CI/CD / Vercel / Supabase / Prometheus
Go race detector / Property/fuzz testing / Deterministic CI modes / Eval fixtures / Regression testing
C++17 / Shared-memory IPC / Write-ahead logging / Quorum replication / OpenAI APIs / Anthropic APIs / Structured outputs
Source of truth
Jan 2019 – Present / Experience
Remote / Tucson, AZ. Delivered production web applications for 50+ client engagements across B2B SaaS, fintech, and AI tooling, owning scope, architecture, implementation, testing, and delivery.
Jun 2018 – Dec 2021 / Experience
Remote / Tucson, AZ. Built and integrated web and backend systems, custom CMS functionality, e-commerce flows, third-party APIs, payment integrations, deployment documentation, and stakeholder-facing features.
April 3, 2025 / Education
Bachelor of Science in Computer Science. Degree conferred April 3, 2025. Computer Science — School of Science.
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