AI/ML Engineer specializing in designing and deploying autonomous agentic AI systems for complex industrial applications. Proven success in translating business challenges into measurable outcomes, delivering a multi-agent framework that boosted operational efficiency by 60% and reduced errors by 80%.
Revolutionizing Human-Machine Interaction: Conversational AI for Intuitive Aircraft Landing Gear Diagnostics
Kadripathi KN, et al.
AIAA, SciTech 2026 (under review)
Integrating Explainable AI into Two-Tier ML Models for Trustworthy Aircraft Landing Gear Fault Diagnosis
Kadripathi KN, Adolfo Perrusquía, Antonios Tsourdos and Dmitry Ignatyev
AIAA, SciTech 2025
Advancing Fault Diagnosis in Aircraft Landing Gear: An innovative two-tier Machine Learning Approach with intelligent sensor data management
Kadripathi KN, Dmitry Ignatyev, Antonios Tsourdos and Adolfo Perrusquia
AIAA, January 2024
Real-time Fault Diagnosis in Aircraft Landing Gear: An Advanced Two-Tier AI-driven Model
Kadripathi KN
Master's Research Thesis
Performance study of electrohydrodynamic thruster under the influence of external magnetic fields
Kadripathi KN, et al.
IEEE, December 2021
An Innovative Technique for Optimization of Efficiency of Transformer and Inductor
Kadripathi KN, et al.
IJRTE, July 2019
An Innovative Device to Monitor Material Quality using Magnetic Permeability
Kadripathi KN, et al.
IJRTE, 2018
Railway Track Crack and Obstacle Detector
Kadripathi KN, et al.
IJARTET, March 2018