About

Rutik Pol is an upcoming computer science and engineering graduate with a strong foundation in software engineering and programming principles across multiple platforms. He has a proven ability to quickly learn and master new technologies, making him a valuable addition to any team. Currently, Rutik is working as an Applied Data Science Intern at NVIDIA, where he is accelerating ML/DL model development, MLOps, and inference. He is also designing and developing distributed ETL, training, testing, and inference pipelines. Rutik's past experience includes working as a Software Developer Intern at Claidroid, where he developed enterprise cloud migration strategies. He also worked as a Research Intern at CDAC, where he developed deep learning-based network slicing for QoS and 5G drone clusters. Rutik achieved a 63% performance boost in HPC systems by leveraging cache and shared memory. He also designed edge computing strategies to bridge the gap between IoT devices and cloud using MPI and caching, achieving 79% latency improvements. Additionally, he designed, developed, and deployed an occluded face, mask, and emotion detection system with 98% accuracy. Rutik also developed an I/O logging and monitoring module for high-speed storage devices. Rutik's education includes a Bachelor of Technology in Computer Science and Engineering from MIT Academy of Engineering, Alandi, Pune, which he is expected to complete in December 2022. He also attended DAV Public School, Nerul, where he completed his secondary education. Rutik's tech stack includes expertise in data science, software engineering, deep learning, ML, ETL, and research. He has 0.78 years of relevant experience and is seeking opportunities to further develop his skills and contribute to innovative projects. Rutik is a team player and is equally successful in self-directed settings.