About

Rahul Gaddabattini is a skilled software engineer with 3.86 years of relevant experience in the industry. He is currently working at Arcesium as a Senior Software Engineer, where he is responsible for developing and implementing new software solutions. Previously, he worked at Samsung as a Software Engineer, where he gained extensive experience in C#, Python (Django), and Typescript. Rahul has a strong background in AWS, Docker, Kubernetes, ELK, and other recent technologies like WEBRTC. He has worked on several projects related to machine learning and deep learning, where he applied transfer learning on ResNet to categorize almost similar images using cosine similarity. During his time at Samsung, Rahul led and coordinated different modules of the project to successfully migrate existing web applications from monolith to microservices using AWS EKS and automation tools like Terraform. He also solved Solr replication and memory-based issues to improve data indexing from the database. Furthermore, he built batch processes for metadata ingestion using S3 and improved execution time for current batch processes. Rahul is a graduate of the Indian Institute of Technology, Guwahati, where he earned a Bachelor of Technology in Electrical, Electronics and Communications Engineering. He also has experience as an intern at Samsung, where he gained knowledge about various strategies for Recommender systems and developed and trained a Deep neural network model and Decision tree-based approach that got the best results for later. Rahul's technical skills include AWS, Django, Typescript, Mobile, Deep Learning, Python, ResNet, Web, Kubernetes, Docker, ML, Frontend, Terraform, Microservices, Pandas, and Neural Networks. He is a dedicated and hardworking individual with a passion for creating innovative solutions that help businesses achieve their goals.