Adiwitiya Mohapatra

WORK HISTORY

EDUCATION

ABOUT ADIWITIYA MOHAPATRA

Hello everyone in my network and beyond!I am Adiwitiya Mohapatra, a passionate technology enthusiast focused on using advanced computational methodologies to tackle complex, real-world problems. My expertise lies in software development, algorithm design, and the application of Artificial Intelligence (AI) and Machine Learning (ML) frameworks to enhance system performance and scalability. My academic journey began at Kendriya Vidyalaya No. 1, Bhubaneswar, where I developed a strong foundation in STEM disciplines. These formative years honed my analytical reasoning and problem-solving skills, sparking my interest in computational thinking.To further develop my technical acumen, I pursued a Diploma in Computer Science Engineering at Government Polytechnic Dhenkanal (2016–2019). During this period, I mastered object-oriented programming (OOP), data structures, and system-level architecture design while gaining hands-on experience with languages like C, C++, and Java. This program emphasized practical applications, enabling me to work on projects such as efficient file management systems and algorithm optimization for enhanced computational performance.Building on this, I earned a B.Tech in Information Technology from Veer Surendra Sai University of Technology (VSSUT), Burla (2019–2022). My focus areas included software engineering methodologies, algorithmic complexity, distributed computing, and IoT integration. Through capstone projects, I designed scalable cloud architectures, implemented microservices, and explored data-driven solutions. These experiences solidified my ability to innovate and solve technical challenges.In January intake 2026, I began a Master’s program at Great learning Academy in Artificial Intelligence and Machine Learning at Walsh College University, USA, delving deeper into AI fields such as deep learning frameworks, reinforcement learning, and natural language processing (NLP). My hands-on projects focused on neural network optimization, machine learning pipelines, and deploying AI solutions on GPU-accelerated platforms for healthcare, automation, and predictive analytics.Looking ahead, I will pursue a Ph.D. in AI and ML at in Georgia Institute of Technology\'s Atlanta, USA 2028, specializing in high-dimensional data analysis, unsupervised learning, and adaptive algorithms. My research will focus on model interpretability, computational efficiency, and autonomous systems. I aspire to collaborate with academia and industry to advance state-of-the-art AI and develop transformative, scalable technologies for the future.