Mr. Chandra Shikhi Kodete Member

IEEE Fort Worth Section
Tagline
Empowering Innovation Through Machine Learning, Adaptive Web Solutions, and Strategic Data Insights
Biography
Chandra Shikhi Kodete received his Master's degree in Computer Technology from Eastern Illinois University in 2020. His research interests include Progressive Web Applications, and Interactive Machine Learning (IML). Chandra has made significant contributions to the field through his research, which has been published in reputed international journals and presented at prestigious conferences. His professional experience includes impactful roles as a Software Engineer, focusing primarily on the latest front-end technologies and web application development. His technical proficiencies include developing web apps using platforms such as PWAs, Native Apps, and Ionic Capacitor. He has also built machine learning models to forecast inventories for retail businesses. Chandra's work is driven by a passion for leveraging modern web technologies to create efficient and user-friendly applications, contributing to the advancement of interactive and adaptive web-based solutions.
Technical Expertise
Chandra Shikhi Kodete’s technical expertise spans several innovative fields, focusing on optimizing supply chains with machine learning to enhance agility and sustainability, particularly in logistics and inventory management. His work addresses pressing cybersecurity issues by evaluating machine learning strategies that mitigate threats, with applications in retail and beyond. Leveraging artificial intelligence, he has contributed to project management on both national and international levels, with significant focus on U.S.-based projects. His research extends into healthcare technology, examining hormonal impacts on skeletal muscle function across life stages in women, providing valuable insights for medical advancements. Chandra is also proficient in interactive machine learning (IML), building adaptive systems to enhance user engagement and experience, as well as in developing Progressive Web Applications (PWAs) to improve accessibility across devices. His skills in front-end development, including expertise with React.js and Ionic Capacitor, support the creation of responsive, user-friendly applications. Chandra’s background in data analysis and visualization allows him to interpret complex datasets, turning insights into strategic actions. As a software engineer, he has developed robust, high-efficiency web applications across multiple industries, implementing component-based architectures, state management, and micro-frontend design to enable scalability and modularity in large-scale projects. His work encompasses the full development life cycle, from requirements gathering to deployment, ensuring tailored, high-performance solutions through collaboration with cross-functional teams and adherence to industry best practices.
Interests
Cloud computing
Software as a service
Big Data applications
Linked data
User interfaces
Ambient intelligence
Browsers
Computer interfaces
User experience
Web design
Metaverse
Publications
S. S., Chandra Shikhi KodeteSaibaba velidiSrikanth BhyrapuneniSuresh Babu Satukumati, and Vahiduddin Shariff, "Revolutionizing Healthcare: A Comprehensive Framework for Personalized IoT and Cloud Computing-Driven Healthcare Services with Smart Biometric Identity Management," Journal of Intelligent Systems and Internet of Things, vol. 13, no. 1, pp. 31 - 45, 2024.
Vikram Pasupuleti, Bharadwaj ThurakaChandra Shikhi Kodete, and Saiteja Malisetty, "Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management," Logistics.
Chandra Shikhi Kodete, Vikram PasupuletiBharadwaj ThurakaV Valli GayathriV S Divya Sundar, and Vahiduddin Shariff, "Machine Learning for Enabling Strategic Insights to Future-Proof E-Commerce," 2024 5th International Conference on Smart Electronics and Communication (ICOSEC).
Bharadwaj Thuraka, Vikram PasupuletiChandra Shikhi KodeteRavi Swaroop ChigurupatiN S Koti Mani Kumar Tirumanadham, and Vahiduddin Shariff, "Enhancing Diabetes Prediction using Hybrid Feature Selection and Ensemble Learning with AdaBoost," 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).
Chandra Shikhi Kodete, Bharadwaj ThurakaVikram Pasupuleti, and Saiteja Malisetty, "Hormonal Influences on Skeletal Muscle Function in Women across Life Stages: A Systematic Review," Muscles.
Education
Eastern Illinois Univ
Master of Science
Computer Sciences and Information Technologies , 2020