Services
Three lanes, one engineer. Pick the one that matches what's in front of you — most engagements end up touching more than one.
Lane 01
Web Development & Platform Rebuilds
End-to-end web development — from greenfield builds to rescuing platforms that have been compromised or have stalled under an underperforming codebase. This covers full-stack application builds, e-commerce, and CMS work, with the same standard applied throughout: a platform that's fast, secure, and maintainable, not just shipped.
- Full-stack application builds (Next.js, React, Node.js)
- Rescue and rebuild of malware-compromised or underperforming platforms
- E-commerce builds and CMS work (WordPress, headless CMS)
- SEO recovery and technical SEO foundations
Typical engagement
Typically a fixed-scope engagement of 2–8 weeks, scoped against a clear before/after (traffic, security posture, load time) rather than an open-ended retainer.
Proof: wmedtour.com
wmedtour.com — Malware Remediation, Full Rebuild & SEO Recovery
Read the case studyLane 02
Infrastructure, DevOps & SRE
Infrastructure work at the layer where most subtle production issues actually live — reverse proxy and CDN configuration, multi-region and multi-CDN routing, container orchestration, and the debugging work needed when a platform is technically 'up' but intermittently unreliable.
- Nginx / reverse proxy architecture and hardening
- Multi-region and multi-CDN routing setups
- Docker and Docker Compose orchestration
- Performance and reliability engineering (CDN/WAF/load-balancer debugging)
Typical engagement
Ranges from a focused infrastructure audit (1–2 weeks) to an ongoing operational role for platforms that need a dedicated infra owner.
Proof: Easy Markets
Easy Markets — Multi-Jurisdiction Trading Platform Engineering
Read the case studyLane 03
AI Engineering & Automation
AI engineering focused on production-shaped outcomes: multi-agent systems that coordinate real workflows, retrieval-augmented generation grounded in your own data, LLM integration into existing products, and automation pipelines (including n8n) that remove manual work rather than adding a chatbot on top of it.
- Agentic AI systems and multi-agent orchestration
- Retrieval-augmented generation (RAG) over your own data
- LLM integration into existing products and workflows
- Workflow automation (n8n) and AI-assisted SEO/content pipelines
Typical engagement
Usually starts as a scoped prototype (2–4 weeks) to prove the workflow, then a production hardening phase once the approach is validated.
Proof: Xplora Kodo
Xplora Kodo — Agentic AI Platform for Workforce Migration
Read the case studyNot sure which lane fits?
Most real problems don't respect these boundaries. Tell me what's going on and I'll tell you where it actually sits.