Syed Shahbaz

As a seasoned software engineer at Reply, I've worked on various cutting-edge projects, honing my skills in technologies like .Net C# development. I've built robust, high-quality applications for clients across different industries, with microservices architecture being a key focus. This approach has allowed me to develop scalable, maintainable systems that can adapt to changing business requirements. At Reply, I've gained extensive experience with Azure, leveraging its tools to optimize our applications for performance, security, and reliability. Implementing Azure has been crucial in maintaining industry standards and managing our applications effectively. To ensure efficient communication between microservices, I've utilized Apache Kafka, a distributed streaming platform offering low-latency, fault-tolerant, and highly scalable messaging capabilities. By integrating Kafka into our systems, I've established real-time data pipelines that enable seamless information flow across applications. Containerization and orchestration have also been integral to my work, using Docker and Kubernetes to streamline development, testing, and production processes. This approach has accelerated solution delivery and improved stability and reliability. In addition, I've employed Apache Ignite, an in-memory computing platform, to support fast and efficient processing of large data volumes. Implementing Ignite has significantly enhanced application performance, allowing them to handle demanding workloads with ease. In conclusion, my experience at Reply has involved working with cutting-edge technologies such as .Net C#, Azure, microservices, Docker, Kubernetes, Kafka, and Apache Ignite. This has enabled me to develop a deep understanding of these tools and deliver high-quality solutions tailored to our clients' needs.

Full-stack developer and worked on Microsoft stack for the automation of daily processes of financial sector. Responsible for the complete development cycle including frontend, middleware, database and backend.

Launched a new system from existing database to improve performance of report generation. Optimized time taken from hours to minutes.