Summary
Basavaraj Hampiholi is a research scientist and computer vision specialist with 9 years of experience building and deploying deep learning systems for real-world problems. He holds a PhD-level research focus at Ulm University and has driven state-of-the-art, resource-efficient models for driver action segmentation and multimodal transformer fusion at BMW, enabling robust understanding under varied illumination and weather. His background spans industry and academia—from biotech image analysis and city-scale video analytics at NEC Labs to statistical and classical ML comparisons at Kaiserslautern—giving him a strong foundation in both traditional features and modern neural approaches. He combines hands-on systems experience (model training, sensor fusion, deployment-aware design) with applied data engineering from early roles in predictive analytics. Notably, his work emphasizes human-centered, multi-sensory AI that balances performance with efficiency for embedded automotive contexts. Based in Ulm, Germany, he brings a pragmatic research mindset focused on translating complex vision models into societally useful applications.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Visvesvaraya Technological University
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Technische Universität Kaiserslautern
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Ulm University