Ajay Navilarekal Rajgopal
Computational Scientist - Big Data & Ai @Leibniz Supercomputing Centre
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WORK HISTORY
Computational Scientist - Big Data & Ai @Leibniz Supercomputing Centre
Garching, DE
I specialize in high-performance computing for AI/ML workloads, where I characterized optimal distributed training configurations across language models ranging from 3.6B to 1T parameters through systematic hyperparameter searches over parallelization strategies including pipeline, tensor, data parallel, and ZeRO optimization. This work achieved peak TFLOPS efficiency while identifying critical scaling bottlenecks. I provide comprehensive technical support to AI/ML researchers working with HPC systems equipped with Intel and NVIDIA GPUs, troubleshooting job scheduling, software environments, PyTorch configurations, and performance optimization for distributed training workloads. As an NVIDIA-certified DLI instructor, I deliver hands-on training sessions that enable researchers to effectively parallelize code and optimize AI workflows for large-scale GPU clusters. Additionally, I develop technical documentation and continuously implement system improvements and automation solutions to enhance researcher productivity and streamline common workflow challenges.
EDUCATION
National Institute of Engineering
Bachelor of Engineering - BE
Technical University of Braunschweig
Master of Science - MS
ABOUT AJAY NAVILAREKAL RAJGOPAL
Computational Scientist specializing in High Performance Computing (HPC) and AI/ML integration. Experienced with Intel and NVIDIA AI accelerators for optimizing machine learning workloads. Proficient in deep learning frameworks and distributed machine learning architectures. Dedicated to empowering AI researchers by optimizing and scaling their workflows for HPC environments. Technical competency in developing distributed training solutions and delivering advanced AI training programs. Focused on bridging the gap between cutting-edge AI research and efficient HPC utilization.
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