Senior Software Engineer specializing in scalable backend systems, cloud infrastructure, and DevOps.
I'm a passionate Senior Software Engineer with a strong focus on backend development and DevOps practices. With 6+ years of experience, I've architected and built scalable systems that handle millions of requests.
My expertise spans from designing robust APIs and microservices to implementing CI/CD pipelines and managing cloud infrastructure. I believe in writing clean, maintainable code and building systems that stand the test of time.
Scalable APIs & Microservices
CI/CD, Containers & Cloud
Modern Web Interfaces
Wearing many hats across the product: owning backend services, cloud infrastructure, and deployment pipelines end-to-end. Designed and maintained the full infrastructure on AWS and GCP with Terraform, built and operated CI/CD pipelines, and drove architectural decisions across the platform. Hands-on with support, maintenance, and reliability. Minimal frontend involvement.
Fullstack development on a fast-moving product, contributing to both backend APIs and frontend features. Worked across the stack with a focus on quality, performance, and scalable cloud deployments on AWS.
Built and maintained backend services in a Java-based environment, with a strong focus on CI/CD automation and container orchestration. Contributed to cloud infrastructure on AWS and participated in cross-functional delivery.
Graduate program combining computer science, software engineering, and financial information systems. Focused on applied IT for banking and financial markets.
Delivered web projects for various clients across backend and frontend, alongside the final year of engineering school. Built and deployed applications on GCP using Docker, covering a wide range of technologies depending on project needs.
Five-year engineering program in computer science, graduating with a dual qualification: an engineering degree and a Master's in Information Systems and Web.
Led the full migration of a legacy monolithic application to a distributed microservices architecture, orchestrated with Kubernetes. Improved scalability, deployment independence, and fault isolation across services.
Integrated large language model capabilities into existing SaaS products to automate workflows, enhance user experience, and surface intelligent insights without rebuilding the core platform.
Built a multi-stage image processing pipeline combining AI-powered editing components with algorithmic transformations , handling high-throughput media workloads with parallelism and fault tolerance.
Designed and implemented API integrations and data ingestion pipelines feeding real-time and batch analytics systems , enabling reliable data flow from diverse sources into analytics platforms.
Have a project in mind or want to discuss opportunities? I'm always open to new challenges and collaborations.