Leykun B.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

If your product handles money, I can build the backend that makes it work reliably. I'm a Go backend engineer specializing in payment systems, financial APIs, and AI-integrated services. I've built and shipped production systems at Chapa, one of Africa's leading payment gateways, where I worked on Chapa V2, improving system reliability, latency, and payment security. On Upwork, I've delivered a Stripe webhook + notifications backend for a mobile app, earning a 5-star review and client endorsements for clean code, clear communication, and reliable delivery. What I build: ✔️ Payment gateway integrations (Stripe, Chapa, Flutterwave, PayPal) ✔️ AI-ready backend services, REST & gRPC APIs that serve ML models ✔️ Microservices with Clean Architecture, PostgreSQL, Redis, Docker ✔️ Go backends for Flutter mobile apps with Firebase integration ✔️ Time-series data pipelines for financial forecasting Where AI meets my work: I'm building at the intersection of fintech and AI. My thesis project is a deployed ML service for SME cashflow forecasting, uses DeepAR for time-series prediction, trained on real financial data and deployed on Hugging Face. I understand how to build the infrastructure around AI models: the APIs, data pipelines, and integrations that make them useful in production. Tech stack: Go (Golang), Python, PostgreSQL, Redis, Docker, gRPC, REST APIs, Flutter, Firebase, Stripe, Clean Architecture What you can expect: 🔹Production-ready code, not prototype quality 🔹Clear communication with 4-8hr average response time 🔹100% Job Success Score | Top Rated on Upwork If you're building a fintech product, an AI-powered financial tool, or need a Go backend engineer who understands both payments and AI infrastructure, let's talk.