About

Yokesh Rana is an experienced Software Engineer with a demonstrated history of working in a fast-paced development environment. He has gradually built his profile to align with Full Stack Development. Yokesh is skilled in Java, Object-Oriented Programming (OOP), Spring, Microservices, Machine Learning Inference, DNN, CNN, Data Structure and Algorithms, and Creative problem solving. He is a strong engineering professional with a Bachelor of Technology in Computer Science and Engineering. Yokesh has coding handles on different platforms across college and corporate experience. You can find him on GeeksforGeeks, GitHub, LeetCode, CodeChef, and Medium. Currently, he works as a Software Development Engineer II at PayPal, where he is part of the Conversational AI Team (Customer Self Service Engineering). He has been working on making chatbot experiences better for customers. Yokesh was the first one to join the team, picked up things, and mentored the whole team. He also created an automation utility for visualisation of Watson skills and migrating them to Google Dialogflow. Previously, Yokesh worked for Samsung as a Senior Engineer and Engineer. In his role as a Senior Engineer, he worked on Machine Learning Intermediated Representation using ACL to enable efficient execution of DNN by layers fusion, subgraph portioning, and various other optimizations. He also worked on camera features such as Night Mode, Selfie Portrait present in flagship models. As an Engineer, he worked with the SNAP (Samsung Neural Acceleration Platform) team, which works on executing Deep Neural Networks on the device efficiently. Yokesh has a Bachelor of Technology (B.Tech.) in Computer Science from Bundelkhand University. He attended Bundelkhand Institute of Engineering and Technology, Jhansi, from 2014 to 2018. He also attended Army Public School from 2010 to 2012 and Kendriya Vidyalaya from 2007 to 2009. Yokesh's tech stack includes Software Engineering, AI, ML, CNN, MySQL, Spring, Microservices, Flask, Python, Django, Mobile, Java, Tensorflow, and Neural Networks. He has 5.11 years of relevant experience.