About

Naval Kishor Singh is a highly skilled Full Stack Developer at kydots.ai with over 4.5 years of relevant experience. Currently, he is serving as an Intern at Indian Oil Corporation Limited where he underwent In-Plant training at IOCL Refinery in Panipat. During his training, he studied and analyzed the working of four major units of the plant, namely AVU, DHDS, CCRU, and OHCU. He also extracted data of heat exchangers from their datasheets and designed aspects of the shell and tube heat exchanger by Kern's method. Furthermore, he calculated various properties of the exchanger, including heat transfer coefficient, the number of tubes required, the number of baffles, shell specifications, and tube specifications, among others. Finally, he compared the results obtained from calculations with the existing heat exchanger. Naval has previously worked as a Project-Optimization Techniques for Travelling Salesman Problem (TSP) at Indian Institute of Technology. During his tenure, he implemented Genetic Algorithm (GA), Simulated Annealing (SA), Dynamic Programming (DP), and Integer Linear Programming (ILP) on TSP problem. He found that for 5-10 cities, SA gave greater than 10% accuracy over other methods, for 10-30 cities, ILP gave greater than 15% accuracy, and beyond 30 cities, GA gave greater than 10% accuracy. GA also gave the shortest distance for TSP over all ranges of cities. Naval holds a Bachelor’s Degree in Chemical Engineering from IIT and completed his High School education from Sacred Heart Convent Higher Secondary School, Mathura. He has expertise in AI and has a strong command over his technical skills. Overall, Naval Kishor Singh is a highly motivated and skilled Full Stack Developer with a strong background in Chemical Engineering and a proven track record of delivering successful projects. He is passionate about leveraging his knowledge and experience to contribute to the growth and success of his organization.