Yeneineh Seiba

I am a passionate and results-driven Backend Engineer with extensive experience designing, developing, and scaling backend systems for high-demand industries, particularly fintech and SaaS. Over the years, I have worked as both a Backend Lead and Backend Developer, contributing to large-scale projects and leading teams in organizations with 500+ employees. My professional journey has been shaped by a drive to solve complex engineering challenges with innovative, scalable, and secure solutions.

My core expertise lies in Go (Gin framework) and Python (Django/DRF, FastAPI), which I have used to build efficient APIs and backend services powering mission-critical applications. I have a strong command of system architecture, microservices, event-driven design, and distributed systems, ensuring that the solutions I deliver are robust, future-proof, and able to handle high concurrency at scale.

I have hands-on experience with a wide range of tools and technologies, including PostgreSQL, MySQL, MongoDB, Redis, Apache Kafka, and Apache Pulsar, which I have leveraged to optimize data flow, build real-time event-streaming systems, and implement reliable caching strategies. On the DevOps side, I am skilled with Docker, Kubernetes, Git, GitLab CI/CD, and Nginx, enabling me to build and deploy systems with strong automation and scalability.

Throughout my career, I have contributed to impactful projects at companies like A2SV, Eskalate, AddisPay, and EagleLion System Technologies, where I worked on fintech-grade backends, API integrations, authentication systems (JWT, OAuth2), caching layers, and cloud-native deployments. These experiences gave me a deep understanding of the challenges involved in building secure, fault-tolerant, and high-performance systems.

Beyond backend engineering, I have a background in competitive programming (DSA) and machine learning/AI, with practical experience using Python, CatBoost, and Scikit-learn for applied intelligence solutions such as recommendation systems and predictive modeling. This combination of backend and AI/ML expertise allows me to bridge traditional system design with modern data-driven approaches.

I thrive in collaborative environments, contributing to Scrum teams, writing clean and testable code (TDD), and ensuring high standards through code reviews and architectural best practices. My work is guided by principles of clean and hexagonal architecture, helping teams maintain long-term scalability and agility.

I am motivated by the opportunity to work on projects that require innovation, critical thinking, and technical excellence. Whether you need a backend built from the ground up, an existing system optimized, or AI/ML integrated into your workflows, I bring both the experience and the passion to deliver impactful results.