Senior Software Engineer with 9+ years of experience designing scalable enterprise applications, cloud-native platforms, and AI solutions. Led high-impact architecture at SAP and Amadeus, focusing on distributed systems, generative AI, microservices, and event-driven design. Skilled in Go, TypeScript, Java, Python, React, and major cloud technologies. Consistently improves system reliability, performance, and delivery velocity. Driven by a passion for secure, maintainable, and production-ready software. Eager to shape the next generation of intelligent automation and engineering excellence.

Architected enterprise AI business platforms with Go, Python, and Azure OpenAI, automating workflows and reducing repetitive operations by 45%. Designed scalable microservices with Kubernetes and Kafka, achieving 99.9% service availability. Built RAG-based knowledge systems, enhancing retrieval accuracy by 35%. Engineered high-performance backend services with FastAPI, reducing API latency by 30%. Automated infrastructure with Terraform and GitHub Actions, streamlining deployments by 50%. Strengthened production reliability through monitoring and optimization, lowering failures by 35%.

Senior Software Engineer

Delivered scalable travel technology using Java, Go, and React, supporting high-volume processing. Refactored microservices with REST APIs and Kafka, boosting scalability by 40%. Created automated workflows with Spark and Airflow, cutting manual data ops by 60%. Implemented asynchronous event processing with Kafka, reducing workflow delays by 35%. Optimized AWS-based environments, reducing management effort by 30%. Improved frontend with React and TypeScript, accelerating development by 25%.

Developed document automation platforms with JavaScript, React, and MongoDB for enterprise clients. Built backend services processing 100K+ monthly documents, increasing reliability. Optimized database operations, reducing retrieval times by 30%. Built reusable React component frameworks, raising engineering efficiency by 35%. Containerized environments with Docker, enhancing deployment consistency. Established CI/CD pipelines, reducing release prep time by 40%.