About

Arpit Kathuria is a highly skilled Software Engineer with over 5 years of relevant experience in the industry. He is currently working as a Software Engineer at Rubrik, where he is a part of the Cloud Native Protection (Polaris) team. Arpit is a developer, Competitive Programmer, and Machine Learning enthusiast. He has a Bachelor of Technology (BTech) degree in Computer Science and Engineering from Thapar University, Patiala. Arpit has a diverse range of skills, including experience in Natural Language Processing and Deep Learning. He is always eager to learn new things every day and loves reading about solving real-life problems using algorithms. Arpit is also a prolific blogger, and his blogs can be found on his website, acupofcode.me. Prior to joining Rubrik, Arpit worked as a Software Development Engineer at LinkedIn, where he was a part of the infra health monitoring team. He worked on the whole pipeline to fetch, create, feed, and show network alerts to a dashboard at scale, which acts as a single pane of glass for infrastructure health monitoring. Arpit also worked on reasoning-based correlation engines and ML experiments for easy pattern recognition and automatic clustering of network events. Arpit has also contributed to Red Hen Lab as a part of Google Summer of Code (GSoC) 2018, in the field of computer vision using deep neural networks. He worked on semantic image segmentation, using Mask R-CNN on visual genome and COCO dataset. Arpit also worked on the implementation of the paper "Learning to segment everything" by Facebook using PyTorch. Arpit has a wide range of technical skills, including but not limited to Software Engineering, infra, ML, Deep Learning, NLP, Jupyter, Big Data, Redis, MySQL, Elastic Search, Kafka, Spring, Python, Java, Computer Vision, CNN, Image Segmentation, Neural Networks, and Pytorch. With his diverse skill set and experience, Arpit is a valuable asset to any organization.