Program Support – EdTech Division, Exafluence INC, Sri Venkateswara University, Tirupati
Pagadala Neelakanteswara is an emerging academician and AI engineer with 2+ years of experience in teaching, mentoring, and applied research across domains including Artificial Intelligence, Machine Learning, and Industrial IoT. He has actively guided AI/DL classes, developed structured content in Python and Java programming, and mentored students on advanced projects, blending strong academic foundations with hands-on technical expertise.
He has authored and published a research paper in the field of Artificial Intelligence, contributing to the growing body of knowledge in applied AI and ML methodologies. His academic journey is backed by practical projects such as a Logistics Web Application with secure role-based dashboards, an AI-Driven Predictive Maintenance and Failure Forecasting System for Industrial Equipment, and an AI-Nurse Companion – Patient Education Script Generator. He is also pursuing structured Quantum Computing research and learning, aimed at building a strong foundation for future quantum-AI integrations.
His areas of expertise and research interests include Industrial AI, Predictive Analytics, Explainable AI (XAI), Quantum Algorithms, and AI in Healthcare applications. With a dual focus on academic excellence and industry-oriented innovation, he is committed to driving scalable, impactful solutions while bridging the gap between education, research, and applied AI technologies.