Ship measurable impact
Performance gains, reliability, business outcomes. I aim for changes that move a number — like the 20–25% backend gains I shipped on recent SaaS work.
Senior Fullstack & AI Engineer · 8+ years shipping production AI
Nagoya, Japan · JST (UTC+9) · usually online 09–19 JST
Senior Fullstack & AI Engineer with over 8 years of experience designing, building and deploying advanced AI systems. Graduated from Niigata University, now leading a small cross-functional team in Japan that covers AI engineering, fullstack development and go-to-market execution. Cross-industry work across healthcare, finance, education and SaaS — merging AI, software engineering and business insight to deliver measurable impact.
Three principles, learned across SaaS, automation, and enterprise work.
Performance gains, reliability, business outcomes. I aim for changes that move a number — like the 20–25% backend gains I shipped on recent SaaS work.
Chatbots, NLP, intelligent search, workflow automation — used where they replace real friction, not as decoration on top of a working product.
Comfortable from contracts and infra up to React UI. Most projects need someone who can hold the whole picture; I like being that person.
Reverse-chronological. Drawn directly from my CV.
Nagoya, Japan · Remote
Delivered 10+ full-stack web and AI-powered applications for startups and business clients across SaaS, automation and Web3-related projects.
Remote
Developed and maintained 5+ enterprise web applications with scalable backend services and modern frontend interfaces.
Remote
Developed backend services and frontend components for multiple web-based business applications and internal systems.
On-site
Developed responsive and accessible frontend interfaces for enterprise web applications using modern frontend technologies.
Selected projects across freelance and full-time roles.
AI-native managed middle/back-office platform that auto-resolves reconciliation breaks on a full Cloudflare stack.
Multi-tenant fintech back-office automation built edge-first on Cloudflare. Six AI agents handle position/cash/trade matching, break investigation, swap resets, accruals, financing-rate intelligence and counterparty comms. A per-tenant TenantAgent Durable Object runs embedded SQLite, with a Rules → Workers AI (Llama 3) → Claude API break-resolution pipeline, real-time WebSocket observation layer in Next.js and a client-owned R2/S3 'bucket-first' data model for zero-break clean offboarding.
AI Engineer · agent pipeline, break-resolution logic, edge architecture.
Production AI assistant with real-time voice, vision and chat - built for a technical-services SaaS.
Built for Hasie Group's technical-assistance domain (energy & multitechnique): OpenAI GPT-4o for text, vision and audio, plus the Realtime API for bidirectional voice over WebSockets. Next.js full-stack with Prisma/PostgreSQL, server-side sessions, conversation persistence and sharing, an admin dashboard with usage analytics, per-user feature toggles and daily token quotas.
Senior AI Engineer · architecture, backend, AI integration, admin tooling.solo full-stack & AI build.
Bitcoin-secured freelance marketplace with milestone escrow over STX and sBTC.
Built for a Web3 client: Clarity smart contracts on Stacks (Bitcoin L2) handle multi-token escrow, milestone-based fund release and on-chain reputation badges (NFTs). Express + MySQL/Drizzle backend, React 18 + Vite admin and user dashboards, Stacks Connect wallet auth. Property-based fuzz tested with Rendezvous.
Senior Blockchain Engineer · architecture, Clarity contracts, full-stack integration.
Public-facing explorer and services suite for the XRP Ledger, used by traders, NFT collectors and validators.
Worked on the Bithomp frontend: account & transaction explorer, NFT (XLS-20) browsing, XRPL username lookup and validator/network dashboards. Built responsive React/Next.js UIs against Bithomp's XRPL data APIs, with real-time ledger updates, server-side rendering for SEO and i18n across multiple languages.
Frontend Developer · UI engineering, XRPL data integration, performance.
Private IPFS network with a swarm-scoped content indexer and a CDN-like edge accelerator, all stock-Kubo compatible.
Open-source Go toolkit that turns a private IPFS swarm into a small private CDN. A Private Indexer keeps an O(1) CID→providers registry so discovery skips the public DHT; a Swarm Accelerator fronts the swarm with an LRU cache, indexer-guided provider selection, parallel block fetches and hedged retries to cut tail latency. Ships as single-binary services with per-node announcer sidecars, Prometheus metrics and Docker Compose deployment. 100% compatible with stock Kubo — no protocol changes.
Backend / Systems Engineer · architecture, Go services, distributed systems.r · Sigma Computing Solutions.
Free AI creative studio: text-to-image, text/image-to-video and a full editing toolset behind one dashboard.
AI/backend engineering for a multi-tool creative platform. Built the model orchestration layer routing requests across frontier image and video models (Flux, SeeDream V4, Veo3, LTX Video, Sora 2, MiniMax), plus the inference pipelines and APIs powering text-to-image, image-to-image, text/image-to-video and editing tools (background removal, face detection/blur,color ops, OCR text extraction). Delivered HD, watermark-free output on a free tier with a streamlined, no-expertise-required workflow.
AI / Backend Engineer · model orchestration, inference pipelines, APIs.
Deep-learning OCR for handwritten digits and letters, with a full word-level recognition pipeline.
PyTorch CNN stack that recognises handwritten digits (MNIST) and letters (EMNIST) out of the box, trains alphanumeric models up to 62 classes and segments whole handwritten lines into characters for end-to-end OCR. Ships pre-trained checkpoints, a unified training CLI and two Gradio web apps for single-character and full-text recognition.
ML Engineer · architecture, model training, OCR pipeline, web apps.
Sectors I've delivered AI and full-stack work into.
HealthcarePatient-facing tools and back-office automation.
FinanceData pipelines, dashboards and document processing.
EducationLearning platforms and AI-assisted content tools.
SaaSMulti-tenant apps with auth, billing and analytics.
AutomationWorkflow + RPA-style internal tooling.
Web3Onchain analytics and LLM-powered summaries.
Four clusters drawn from 8+ years across AI, fullstack, mobile and infra.
Generative AI, NLP, computer vision and the cloud plumbing around them.
Modern React/Next.js and cross-platform mobile.
REST & GraphQL APIs, scalable services, secure auth and payments.
Databases, containers, CI/CD and cloud deployment.
Every leaf is a tool I've shipped with in production.
The full toolbox listed on my CV — languages, frameworks, infra.
Engineering notes, case studies and the occasional essay.
Notes on integrating OpenAI and LangChain into production SaaS — what to cache, what to monitor, and how to keep latency below the patience threshold.
The specific moves — index strategy, N+1 hunting, query rewrites and connection pooling — that took API latency down across a recent freelance build.
Vector DB choices, chunking strategies, eval loops and the guardrails I now ship with every retrieval-augmented system.
How my career moved from Angular interfaces at ST Engineering, through enterprise fullstack at CBTW, to leading AI-driven SaaS work as a freelancer in Japan.
Occasional notes on shipping AI products and full-stack engineering from Japan. Short, practical, no fluff.
No tracking. One-click unsubscribe.
If you're working on an AI-driven product, a SaaS that needs smarter features, or a full-stack build that needs an experienced pair of hands — I'd love to hear about it. Short pitch is fine; details can come later.
Prefer async? Just email donyhorse@gmail.com.
Exact scope and rate are agreed before the work starts.
Project-based
Solo or embedded with your team. AI integration, full-stack web and backend systems.
On request
Chatbots, RAG, NLP and workflow automation built on OpenAI / LangChain / vector DBs.
Flat fee
Async review of an existing codebase + debrief call. AI or fullstack stacks.
Selective
For early-stage teams shipping AI-driven products, especially in Japan.