About

Aditya Das is a highly skilled Software Engineer with a wide range of interests spanning across machine learning, distributed systems, database engineering, operating systems, and computer graphics. He possesses strong programming skills in Java 8, C++11-17, C, Python, and Go, and is proficient in build tools such as CMake and Maven. Aditya is experienced in RESTful Web Services, API Design, and has expertise in tools like IntelliJ, PyCharm, CLion, GoLand, VSCode, Jenkins, and Linux. He is also well-versed in database technologies such as MS-SQL and Dremio, and project management tools like GitHub, GitLab, Confluence, and Jira. Aditya has a solid background in Artificial Intelligence, with experience in Deep Learning in CV + NLP (CNNs, RNNs, LSTMs), Machine Learning (Decision Trees, Regression, Support Vector Machines, Bayesian Learning, Hidden Markov Models), and Engineering: Distributed Systems (Consensus Algorithms (Raft / Paxos), Microservices architecture design, Publish-Subscribe, Event-driven & reactive systems design using Actor Model paradigm). Currently working as a Software Engineer (Analyst) at Nomura, Aditya is responsible for working on low latency and high availability data persistence and retrieval layer. He is also supporting the implementation of multi-regulation risk platform covering B2.5 & FRTB. Prior to this, Aditya has worked as a Teaching Assistant for 24780 Engineering Computation at Carnegie Mellon University and as a Graduate Research Assistant at the Computational Engineering and Robotics Lab at Carnegie Mellon University. Aditya holds a Master's degree in Computational Design & Manufacturing from Carnegie Mellon University and a Bachelor's degree in Mechanical Engineering from VIT. He completed his schooling from Sanskriti School. Aditya's tech stack includes Software Engineer, ML, SQL, Web, Deep Learning, NLP, Jenkins, Microservices, Python, C++, Java, Research Scientist, and Computer Vision. With 3.03 years of relevant experience, Aditya is a highly motivated and skilled professional who is always eager to learn and grow in his field.