I build reliable, practical software and ship useful products. I focus on readable code, clear architecture, and measurable outcomes. When I'm not building software I assemble and repair custom, high-performance PCs.

• 🔭 Currently: building tools and dashboards to automate workflows and improve business productivity.
• 🌱 Learning: scalable backend patterns, observability, and developer tooling.
• 👯 Open to: collaboration on open-source projects and automation tooling.
• ⚡ Fun fact: I enjoy turning difficult edge cases into simple, well-testable solutions.

• Frontend / Full-Stack
  Next.js (App Router + React Server Components + Server Actions)
  React / React Native (mobile & web)
  Tailwind CSS + shadcn/ui + Radix UI (clean, accessible, customizable UI)

• AI & LLM Integration
  Vercel AI SDK (multi-provider: ,routers.)
  Prompt engineering + RAG patterns (via templates & custom implementations)
  n8n (AI agents, workflows, enterprise integrations)

• Backend & Data
  Node.js / TypeScript APIs
  Drizzle ORM + Neon Serverless Postgres
  Vercel Blob (file handling)
  FastAPI (Python APIs — in planning / active use)

• Authentication & Security
  Auth.js (NextAuth) — OAuth, JWT, secure sessions
  Offline-first & secure patterns (mobile safety focus)

I design systems for clarity, and operational simplicity:

• Start with a modular monolith using Clean Architecture (entities → use cases → adapters). Decompose into microservices only when warranted by scale or separation of concerns.
• Prefer explicit, well-documented interfaces (REST/GraphQL) and small, well-scoped services.
• Make observability first-class: structured logs, metrics, traces, and health checks.
• Security-first approach: authenticated APIs (OAuth2 / JWT), encryption in transit and at rest, and minimal data retention.
• Practical scalability: caching, background workers, async queues, and horizontal autoscaling where needed.

AI & automation specifics:

• Use performant inference stacks (TGI / vLLM) with cost/latency trade-offs in mind.
• Combine vector stores + hybrid search for RAG workflows.
• Coordinate multi-step automations with lightweight orchestrators or workflow tools (n8n, task queues).
• Default to safe data handling: anonymization, rate limits, conservative telemetry.

(links to public repos; private repos a)

• autto-marketer- — Scrapes Google for marketing data and generates marketing assets via a GUI and web interface. (JavaScript)
• n8n-templates--borrowed-from-a-sail-25-private-account — Collection of n8n automation templates and enterprise workflows; integrations for Gmail, WhatsApp, and common services.
• gpt-engineer-sm444 — CLI platform for experimenting with programmatic code generation; precursor to https://lovable.dev. (Python, MIT)
• whatsapp-MCP — Message-sending service for WhatsApp with media support. (Python, MIT)
• dyad-for-SC — Fork of dyad-sh/dyad; a local, open-source app builder and developer tooling. (TypeScript, Apache-2.0)
• auto-scribe-buddy — (private) Backend that uses Notion as a content source to discover trends and generate blog drafts.
• Bloglandingpagedesign — Notion-backed blog landing page generator. (TypeScript)
• THe-leap-project- — Dashboard and admin UI for the Leap project. (TypeScript)
• kovera-prime — (private) TypeScript project in active development.
• graph-sitter-1 — Scriptable interface to a multi-lingual language server (fork). (Python, Apache-2.0)
• Linda — Mobile app focused on safety and routing for Kenyan users; anonymity and offline-first features.
• nextjs-ai-chatbot — (private) Next.js chatbot project (TypeScript).

• Small, fast iterations with automated tests and CI keeping main branch deployable.
• Clear PRs and focused reviews.
• Prioritize simplicity and maintainability over premature optimization.

If you want contact details or a portfolio link added, tell me which to include:

• Email: gfordevowrks@gmail.com -Website: www.sailcraftsolutions.co.ke

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