About

Soumik Mukherjee is a Senior Java & Kotlin Consultant with over 13 years of relevant experience in designing and developing scalable microservices and event-driven services using Spring Boot in Java and Kotlin. He is also proficient in securing these services and has additional skills in MongoDB, Redis, Docker, Kubernetes, and Cloudfoundry. Soumik has a strong exposure to machine learning and natural language processing. Soumik is a hands-on contributor in Java and Kotlin, MongoDB and Redis, and DevOps. He constantly looks for newer and better technical approaches and is a current learner of Quarkus/GraalVM and functional programming. He possesses strong interpersonal skills and has an entrepreneurial and open mindset towards newer approaches in strategy and technology. In the last five years, Soumik has designed and developed microservices using Spring Boot in Java and Kotlin, event-driven scalable services using Spring Kafka and Avro/protobuf, and async microservices using Spring Boot and Kotlin co-routines. He has also designed and developed CI/CD pipelines using Docker, Cloud Foundry, and Azure pipelines. Soumik has extensively used Redis and Hazelcast as cache engines and MongoDB apart from traditional SQL databases. He has also implemented machine learning algorithms using SparkML and deep learning using python-based TensorFlow. Soumik has led and mentored small to mid-sized technical teams ranging from 2 to 20. In the previous 15 years, Soumik has designed and developed Java EE-based applications on Tomcat, Weblogic, Jboss, and Websphere in Servlets, SpringMVC, JDBC, and EJB. He has also worked on the frontend, which includes JQuery and Angular. Soumik has a Master's degree in Computer Software Engineering from Birla Institute of Technology and Science, Pilani, and a Bachelor's degree in Engineering from Jadavpur University. He completed his schooling from South Point High School. Soumik has expertise in Kotlin, Java, Microservices, Spring Boot, NoSQL, Spring, Redis, MongoDB, Docker, ML, SQL, Deep Learning, NLP, Kubernetes, Tensorflow, Kafka, DevOps, Azure, Frontend, Backend, Big Data, qa, and Software Engineering.