About

Sushil Dubey is an experienced AI software engineer currently working at Intel as a Deep Learning R&D Engineer. With 6.87 years of relevant experience, Sushil has a strong background in computer science and a demonstrated history of working in the research field at TIFR and the computer software industry. Sushil is highly skilled in problem-solving, data structures, and algorithms, and has experience working with large code bases, C++, STL, multithreading, design patterns, and compiler development. He has a passion for learning new technologies and programming languages and is always up-to-date with the latest trends in the industry. Sushil's past experience includes working as an R&D Engineer at Synopsys, where he worked on HDL Compiler Development for FPGA Protocompiler. He also worked as a Research Fellow at Tata, where he developed a software package for Accelerated Pixel Track at High Level Trigger CMS using GPU CMSSW framework, C++, and CUDA at CERN. Sushil holds a Bachelor's degree in Computer Engineering from the University of Mumbai, which he completed in 2016. His tech stack includes Deep Learning, AI, SQL, Python, Pytorch, C, Neural Networks, Search, BERT, CNN, RNN, OpenCV, Tensorflow, Web, and Android. Overall, Sushil is a highly skilled and experienced AI software engineer with a passion for learning and staying up-to-date with the latest technologies. He is a valuable asset to any team and is always eager to take on new challenges and opportunities.