Built a high-performance API with Axum handling 10M+ requests/day. Response times average 15ms (down from 180ms in Python). Reduced server costs by 70% while handling 5x more traffic.
Case study
Built a high-performance API with Axum handling 10M+ requests/day. Response times average 15ms (down from 180ms in Python). Reduced server costs by 70% while handling 5x more traffic.
Custom engagements covering discovery, development, and go-live enablement across Web3, AI, and full-stack technologies.
Per sprint
Always included
Post-launch help
Discovery
Map requirements, success metrics, and risks
Build
Sprint-based implementation with weekly demos
Launch
Monitoring, docs, and warranty window
Technical implementation and architecture overview
Collaborative sessions to map scope, pick success metrics, and define the delivery cadence.
Two-week sprints with demos, docs, and async updates visible to the whole team.
Handover docs, playbooks, and support windows so there is no cliff after deployment.
Web3, AI, Systems, Web. End-to-end. One person. From idea to deployed.
Yes. Architecture, stack selection, code reviews. Hourly or contract. Get unstuck fast.
Fast. I focus on going live. Less bureaucracy, more shipping. Let's discuss timeline.
Yes. Frontend, backend, infrastructure, deployment. Complete systems. End-to-end.