AvailableAddis AbabaUTC+32 slots Q3
I make slow systems fast,and prove it.
Backend and real-time infrastructure in C++, Node.js and AWS. I measure what I ship.
Latency trace of 48 samples against a 50ms budget. 50th percentile 29ms, 95th percentile 57ms, 99th percentile 60ms. These figures are illustrative sample data.
Selected work
All work →Writing
All writing →- How I Ship Software With AI Agents: My AI Coding Workflow25 min→
- Engineering PlanReel: a 40-page PDF to a narrated video, rendered on 94 Lambdas20 min→
- Fine-tuning vs RAG: how LLMs are trained, and what I ship instead12 min→
- Next.js SEO for an AI wedding platform: six fixes, in the order they mattered10 min→
- Kubernetes vs Single VM: Measured Deploy Time, p99 Latency and the Real Trade10 min→
- Async/await waterfalls in Node.js: the bug that looks like clean code9 min→
Open source
12 merged · 6 open →Currently
- Aug 2025 — present
Software Engineer · Deepora
Chose AWS ECS Fargate over Lambda for real-time infrastructure to eliminate cold starts. Built a WebSocket notification pipeline holding p99 under 100ms, with automated testing behind 99.9% uptime.
- 2025 — present
Full-stack Engineer · Wedlii
Built wedlii.com.au on server-rendered Next.js for search visibility, and integrated Stripe Connect for multi-party payments with compliance-grade integrity.
- Dec 2024 — Aug 2025
Full-stack Engineer · Tammwe LLC
Moved a legacy backend to Next.js and Drizzle with zero downtime, then cut query latency 30% through indexing and query planning.