Summary
Praveen Kulkarni is an experienced software engineer with 11 years focused on high-performance computing, GPU acceleration, and applied machine learning, currently researching deep learning techniques for side-channel analysis at NXP Innovation and Security Center. He has a strong track record optimizing compute-heavy pipelines—from reengineering CFD solvers for hybrid CPU+GPU use to accelerating CT reconstruction and medical imaging on NVIDIA architectures. His work spans industry and academia, including a standout AR drift-correction system at Viewlicity and GPU-accelerated planning for the Robot-Era project at the University of Hamburg. Comfortable with CUDA tooling, RDMA/GPUDirect, and dynamic parallelism, he blends low-level performance tuning with statistical modeling and linear algebra expertise. Praveen’s career shows a recurring theme of translating research ideas into robust, production-oriented systems that perform under real-world constraints. Based in Hamburg, he pairs top-tier academic credentials with practical engineering impact across security, healthcare, and AR domains.
11 years of coding experience
4 years of employment as a software developer
Master's Degree in Intelligent Adaptive Systems (IAS), Computer Science, sehr gut/excellent (3.9/4.00) (1,27), Master's Degree in Intelligent Adaptive Systems (IAS), Computer Science, sehr gut/excellent (3.9/4.00) (1,27) at University of Hamburg
Bachelor's Degree, Electronics Engineering, First Class with Distinction (3.78/4.00) (1,3), Bachelor's Degree, Electronics Engineering, First Class with Distinction (3.78/4.00) (1,3) at Shivaji University
English, Marathi, Hindi