You will get a Backend Architecture Review & Microservices Audit
Project details
Most architecture reviews are surface-level checklists. Mine come from running systems at real scale. I've architected a payment aggregator sustaining 8M+ transactions a day on PostgreSQL, built event-driven microservices on Kafka with gRPC for low-latency internal calls, and instrumented them with OpenTelemetry and Jaeger for true distributed tracing. I've led backend teams, set code-review standards, and cut one project's costs 40% by fixing its architecture instead of rewriting it. You get a senior engineer's judgment on coupling, bottlenecks, and observability — with prioritized, concrete fixes, not vague advice.
Programming Languages
HTML & CSS, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 0 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
About Negasi
Full Stack Developer and AI Automation Expert | MERN Stack | n8n | RAG
Addis Ababa, Ethiopia - 2:28 am local time
Currently, as a CTO, my primary focus is on engineering AI-native solutions. I specialize in integrating AI platforms, developing intelligent applications, and designing the robust data pipelines required to support AI-driven features. Alongside my AI development work, my core engineering background includes architecting complex systems—such as building a payment aggregator that sustains over 8 million daily transactions, developing event-driven microservices, and optimizing multi-tenant databases.
In my technical leadership roles, I maintain a consistent 98% on-time project completion rate. I am highly focused on optimizing both systems and engineering teams. By identifying and mitigating process bottlenecks, I recently achieved a 35% improvement in coding efficiency. Furthermore, I actively mentor developers and recently designed a comprehensive tech stack roadmap that reduced the onboarding learning curve from 60 to 49 days.
Whether you need to build a sophisticated AI application, scale an event-driven backend architecture, or bring on a technical lead to drive your product forward, I am equipped to deliver exceptional, high-performance results.
Steps for completing your project
After purchasing the project, send requirements so Negasi can start the project.
Delivery time starts when Negasi receives requirements from you.
Negasi works on your project following the steps below.
Revisions may occur after the delivery date.
Setup a 40-minutes virtual meeting on Zoom/Google Meet.
Present the system, including the high-level architecture. Then share documents, if any. The client explains what they want me to help them with.
I will get access to the Github repo.