Krishna Phanindra Marupaka

Dynamic and results-driven professional with experience at USD Applied Artificial Intelligence Lab, specializing in developing robust data pipelines and deploying advanced machine learning models. Proficient in Python and skilled in collaborative problem-solving, I excel in transforming complex datasets into actionable insights, enhancing predictive capabilities for climate applications.

• NSF Great Plains I-Corps Badge – climate prediction project
• NVIDIA Certification – Fundamentals of Deep Learning
• Poster presenter at USGS EROS and South Dakota EPSCoR
• IEEE Sensor Council Chairman – Sreyas Institute
• Research presenter at 3rd OAK Computing Conference, Wichita State University
• Published a Research paper in IEEE ISBI conference 2025 on pap smear cells detection using AI and achieved 3rd position in the kaggle IEEE ISBI competition.

Multi-Level Spatiotemporal Vision Transformer, 08/01/24, Present, Developed a model using Sentinel-2 imagery and meteorological data to predict crop yield variations., Designed ETL pipelines for multimodal data preprocessing and integration. Quad-copter Build Project, 03/01/22, 05/01/22, Designed and built a quadcopter with Arduino, gyro sensors, and brushless motors., Applied real-time signal processing for flight stability and control.

• NVIDIA Certificate on Fundamentals of Deep Learning