Istanbul, Türkiye
Full Stack Engineer with 5+ years of experience building scalable, high-performance systems using Go, React and TypeScript. Strong background in optimizing APIs, enhancing user experience, and delivering measurable results in agile, fast-paced startup teams. Specialized in e-commerce and search-related projects, with hands-on experience in cross-functional product development and system performance tuning. Feel free to contact me directly at [email protected] See my Github repositories at github.com/akkayaburak
ASP.NET Core, C#, Redis, PostgreSQL, Azure DevOps, xUnit Improved backend performance by optimizing PostgreSQL queries and ASP.NET Core service architecture, reducing average page load time by 30%. Integrated Elasticsearch for centralized logging and monitoring, enabling faster debugging and better traceability across distributed services. Implemented Redis caching to reduce DB load and accelerate frequently accessed endpoints. Increased test coverage by 40% using xUnit and strengthened CI/CD reliability via Azure DevOps pipelines.
Go, JavaScript, Typescript, React, NextJS, ElasticSearch, MySQL, Docker Developed high-performance Golang APIs that reduced average response times by 40% and supported 3x traffic growth during seasonal peaks. Led the redesign of checkout flows using A/B testing and user analytics, improving conversion rates by 15% and increasing average order value by 8%. Built and deployed dynamic React/Next.js frontend features, increasing session duration by 20% and reducing bounce rate on key product pages. Integrated Redis and Elasticsearch to reduce search latency by 60% and improve relevance via keyword boosting.
PostgreSQL, MongoDB, JavaScript, HTML, CSS, Python, RabbitMQ Managed large-scale data pipelines using PostgreSQL and MongoDB, optimizing data storage and retrieval for analytics workflows. Built real-time data processing layers using Redis and RabbitMQ, reducing system lag and increasing throughput by 25%. Developed responsive admin panels with React, improving internal tool usability and reducing support overhead. Automated recurring tasks with Python scripts, cutting manual operations by 30%.