About

Harsh Digwani is a self-taught programmer and a full-stack web developer with a strong background in computer science and engineering. He is currently working as a Software Development Engineer at Flipkart, where he is building scalable and robust machine learning platforms to enable complete data science pipelines. Harsh is a good problem solver and enjoys exploring challenging problems and building solutions. Harsh has a diverse skill set and has worked on various tech stacks, including Java backend, Kafka, Docker, Kubernetes, JavaScript, Reactjs, ExpressJs, MySQL, MongoDB, Python, Machine Learning, Data Structure & Algorithms, and Problem Solving. He has experience in building big data stream pipelines using Spark, Kafka, and managing clusters on a scale using Kubernetes. Harsh has previously worked as a Software Engineering Associate at Amdocs, where he worked on the Sky Reconciliation project. He was responsible for migrating Auto Resolver APIs into the Jesi Framework, resulting in performance optimization by 15%. He also developed a batch job in Spark SQL to fetch data from external systems and accomplished an 88% reduction in stuck orders by developing Auto Resolver steps. Harsh has also worked as a Web Developer Intern at Dollop Infotech, where he built a product listing website and converted it into a Single Page Application (SPA) using Angular Framework. Harsh has pursued a Bachelor of Technology in Computer Science and Engineering from Medicaps University and graduated in 2020. He is a highly motivated and dedicated individual with relevant experience of 3.19 years. Harsh is proficient in software engineering, Kubernetes, Java, backend development, web development, Spark, SQL, machine learning, Kafka, big data, testing, Docker, JavaScript, data science, MySQL, MongoDB, and integration. To know more about his work, one can check out his portfolio at https://harshdigwani.github.io.