I recently completed my M.Tech from the National Institute of Technology (NIT) Rourkela, building on a strong academic foundation in Electronics and Communication Engineering. Throughout my academic journey, I developed expertise in Machine Learning, Deep Learning, Artificial Intelligence, Data Science, Neural Networks, Predictive Modeling, and Software Engineering, with a strong passion for building intelligent, data-driven solutions to real-world engineering problems.
Prior to my master's, I worked as a Full Stack Software Engineer at UST Global (Client: Dell Technologies), where I designed and developed enterprise-scale applications using Java, Spring Boot, Angular, RESTful APIs, MySQL, Git, and Microservices. This experience strengthened my expertise in software development, scalable system design, API development, cloud-ready applications, Agile development, and cross-functional collaboration.
My research bridges the fields of Artificial Intelligence and Engineering, with a focus on applying Machine Learning, Deep Learning, and Kolmogorov–Arnold Networks (KAN) to intelligent engineering systems. I am the first author of the SCI journal article "Kolmogorov–Arnold Networks for Antenna Analysis: A Comparative and Edge-Ready Framework", published in the AEÜ – International Journal of Electronics and Communications (Elsevier). I am also a co-author of the IEEE conference paper "Machine Learning Inspired Impedance Matching Prediction of Fractal Gasket Antenna", presented at the IEEE 4th International Conference on Computer Vision and Machine Intelligence (CVMI 2025).
Beyond research, I have contributed to the academic community by serving as a Reviewer for the IEEE CVMI 2025 conference and volunteering at IEEE international conferences, demonstrating my commitment to research excellence, technical leadership, and professional service.
I possess hands-on experience with Python, Java, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, OpenCV, SQL, Spring Boot, Angular, Git, Docker, Linux, REST APIs, and Machine Learning workflows. My multidisciplinary background enables me to combine software engineering principles with AI-driven methodologies to design scalable, efficient, and production-ready solutions.
I am actively seeking opportunities as an AI Engineer, Machine Learning Engineer, Data Scientist, MLOps Engineer, Generative AI Engineer, Software Engineer, or Research Engineer, where I can leverage my expertise in AI, data-driven modeling, software development, and research to build innovative technologies with real-world impact.
Honored with the Best Outstanding Graduate Award (2022), presented by the BC Welfare Department and conferred by the District Collector in recognition of outstanding academic performance, excellence in sports, leadership, and significant contributions to co-curricular and extracurricular activities.
Honored with the Outstanding Alumni Award by CMR Group of Institutions (CMRGI) in December 2024 for distinguished professional accomplishments, academic excellence, and contributions as a notable alumnus.
Journal: AEÜ – International Journal of Electronics and Communications (Elsevier)
Authors:
★ Avula Uttej Kumar
;
Sandip Ghosal
Publisher: AEUE - International Journal of Electronics and Communications
DOI: 10.1016/j.aeue.2026.156470
Conference: IEEE 4th International Conference on Computer Vision and Machine Intelligence (CVMI 2025)
Authors: Chamundeswari K;
★ Avula Uttej Kumar
; Sandip Ghosal
Publisher: IEEE Xplore
DOI: https://doi.org/10.1109/CVMI66673.2025.11337418
Designed and simulated a 5GHz microstrip antenna using HFSS. Optimized feed location, fabricated using FR4 substrate, and validated performance using VNA and return loss analysis.
Web app for organizing sports events with team creation, scheduling, and QR-based registration. Built using Angular, Spring Boot, REST APIs, and MySQL with full UI/UX optimization.
Developed microservice integrations with messaging queues and APIs for enterprise-level data exchange. Built REST APIs and implemented business logic validations using Java, Spring Boot, and MySQL.
Internal tracking system for mapping candidates to technologies with dynamic dashboards and role-based logins. Developed using Angular, JPA, and RESTful services.
Developed an IoT system using Arduino and sensors to monitor gas, temperature, and humidity. Automated responses like fan or sprinkler activation and enabled Bluetooth/Wi-Fi connectivity.
uttej123kumar@gmail.com
