About

Soumy Ladha is an experienced software engineer with a background in backend applications and systems. He is currently an Associate at Goldman Sachs, where he has developed RESTful APIs and Big Data pipelines for CRUD operations with a focus on scalability, responsiveness, and data quality. Soumy has worked on end-to-end pipelines that include checks for data consistency and anomaly, as well as efficient in-memory transformations that may be stored in a non-relational database. He has also created reactive APIs to enhance requests per thread, resulting in improved performance and efficiency. Soumy is fluent in numerous programming languages, including Java, C, Python, and Kotlin, as well as frameworks like Springboot, RxJava, CUnit, and Junit. He has worked with Spark, Hadoop, MongoDB, Elasticsearch, and Postgres, among other platforms. Soumy has a Master of Science in Computer Science from the University of Chicago and a Bachelor of Technology in Aerospace, Aeronautical and Astronautical Engineering from the Indian Institute of Technology, Kharagpur. In addition to his work at Goldman Sachs, Soumy has also worked as a software developer as part of the Louisa engineering team and developed tools and data models used by Securities division Operations for efficient resource prioritizing and cost-saving. Soumy is passionate about software engineering and machine learning and is always interested in meeting new people to discuss these topics. He is open to connecting with anyone who shares his interests and is always happy to grab a coffee and chat. With 5.12 years of relevant experience, Soumy is a skilled and knowledgeable software engineer who is always looking for new challenges and opportunities to learn and grow.