I'm a backend software engineer specializing in designing and scaling distributed systems, cloud infrastructure, and high-throughput APIs. My work spans service architecture, database performance, and production reliability — from initial design through deployment and long-term ownership.

I care about systems that are simple to reason about, easy to operate, and built to survive contact with real traffic. I enjoy working close to the metal on performance and cost, as well as mentoring engineers and setting technical direction across teams.

• 🔭 Focus areas: API architecture, distributed systems, cloud infrastructure (AWS), database design & optimization
• 🌱 Currently deepening: Advanced AWS architectures, event-driven systems, infrastructure-as-code at scale
• 🤝 Open to: Technical leadership roles, systems design collaboration, open-source contributions
• 📫 Reach me: LinkedIn · Twitter

• System Design — Designing scalable, fault-tolerant backend architectures for high-traffic applications
• API Engineering — Building and versioning production-grade REST/GraphQL APIs with strong observability
• Cloud & Infrastructure — Architecting AWS-based infrastructure, CI/CD pipelines, and infrastructure-as-code
• Data Layer — Schema design, query optimization, and scaling relational and NoSQL datastores
• Technical Leadership — Code review standards, mentoring, and cross-team architectural decision-making

Languages

Frameworks & Runtime

Data & Storage

Cloud & Infrastructure

Backend architecture and core systems for a ride-hailing platform, built and maintained over 3 years as the backend engineer.

• Designed and owned the backend architecture end-to-end, including service structure, background job processing, and data layer design
• Built the payment system handling fare transactions and driver/rider payouts
• Implemented location zoning to manage service areas, surge boundaries, and geofenced pricing regions
• Built the fare calculation engine — dynamic pricing based on distance (miles) and duration (hours)
• Currently building live tracking for drivers and riders (real-time location updates and trip state)

Stack: Node.js · Express.js · TypeScript · BullMQ · MySQL · MongoDB · Redis · AWS (EC2, S3, RDS)

A developer tool (in the spirit of Postman, but terminal-native) that lets developers document and test API endpoints instantly from the command line with a few commands — no separate GUI app required.

• Built the core service and CLI logic in FastAPI/Python, distributed as a pip package
• Built the companion npm package in TypeScript for JS/Node developer workflows
• Designed for immediate setup — install, point at your endpoints, and start testing in minutes

Stack: Python · FastAPI · TypeScript · pip (PyPI) · npm

https://rydepro.com

https://github.com/Di-nobi/Dinorex

https://github.com/Di-nobi/dinorex-py