Abhinav Kamutala

Computer Science undergraduate with hands-on experience building AI-powered software through research, hackathons, mentorship programs, and machine learning projects. Competent in C++, Python, SQL, and Machine Learning, with experience designing multi-agent systems, intelligent automation workflows, and cybersecurity solutions. Currently leading a four-member IEEE research team developing a Software Defined Networking (SDN) bandwidth prioritization system, with a strong interest in Software Engineering, Generative AI, and practical AI applications.

Research Intern - IEEE IAMPRO 2026

(2026-04)

• Leading a 4-member research team to develop a Software-Defined Networking (SDN) solution for bandwidth prioritisation in campus networks.
• Designing traffic prioritisation strategies to ensure reliable access for online examination portals over non-critical network traffic.
• Researching SDN controller architectures, bandwidth management, and network optimisation to improve traffic efficiency and system reliability.

AI Innovation Mentorship Program - Kanini Incubation Cell

(2026-04)

• Selected for an AI innovation mentorship program focused on AI product development, hackathons, and industry-oriented problem solving.
• Collaborating with mentors to explore AI technologies, product design, and practical implementation strategies.

Machine Learning Trainee - Skillfied Mentor

(2026-05 - 2026-06)

• Developed machine learning workflows on healthcare datasets using Python, Pandas, and Scikit-Learn.
• Performed data pre-processing, model training, and comparative evaluation for disease prediction models.

B.E. - Computer Science - New Horizon College of Engineering (2023)