Rajarshi Tarafdar is a highly skilled Senior Developer with over 9 years of experience specializing in Generative AI and Java development. He has an extensive background in developing and optimizing generative models such as GPT, DALL-E, Stable Diffusion, GANs, and VAEs, with a strong grasp of neural networks, transformers, attention mechanisms, and large language models (LLMs). His expertise also includes optimization techniques, hyperparameter tuning, and transfer learning.
Rajarshi has hands-on experience with Java (1.8, 8, and 17), J2EE technologies, Hibernate, Spring, and Microservices development. He has worked extensively with cloud platforms such as AWS (EC2, S3, Lambda, DynamoDB, Redshift) and built ETL data pipelines, real-time data processing systems, and microservices-based applications. His proficiency in frameworks like Spring MVC, Spring Boot, and tools like Apache Kafka, Apache Flink, and Spark ensures the smooth development and deployment of high-performance applications.
Currently, Rajarshi is a Senior Developer-Gen AI at JP Morgan & Chase in Texas, where he is responsible for developing and maintaining finance insurance applications and leveraging AI for developer workflow automation. He has also worked with Blue Cross Blue Shield at Cognizant, Genentech, and Symantec and Capgemini, contributing to various high-impact projects across the finance, healthcare, and tech sectors.
Rajarshi holds a Master’s degree in Computer Science from the University of Missouri-Kansas City, PGDM from IIIT Bangalore in Data Science, a BTech in Computer Science and Engineering from West Bengal University of Technology. He is fluent in English, Hindi, and Bengali, and has been recognized with multiple awards, including the UMKC Spring 2017 Hackathon Award and the Outstanding Award by Cognizant. Additionally, Rajarshi has made contributions to academic research, with publications in ACM and at the World Congress.