Summary
Ramanathan Perumal is a Senior Software Engineer and computational scientist with 10 years of experience building analytics platforms and research-grade applications for R&D in life sciences and industry. He blends deep domain expertise in computational materials science and high-performance simulation with practical engineering—designing data pipelines, medallion lakehouse architectures, and user-facing R/Shiny and Python applications for teams at Genmab and Pfizer. His background spans end-to-end production work: HPC C/C++ simulation code, reproducible R packages and Shiny apps, cloud deployments on AWS, and validated analytics for regulated environments. Colleagues rely on him to translate complex experimental and simulation datasets into compliant, actionable insights across pathology, imaging, and lab management systems. Notably, he has repeatedly moved research software into production, having extended in-house parallel simulation tools and contributed reusable data-science tooling for cross-pharma initiatives. Based in Utrecht, he combines rigorous academic training (PhD KIT) with a pragmatic, product-focused approach to delivering robust scientific software.
10 years of coding experience
13 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy - PhD Computational Science & Data Processing, Doctor of Philosophy - PhD Computational Science & Data Processing at Karlsruhe Institute of Technology (KIT)
Bachelor’s Degree B.E Metallurgical Engineering, Bachelor’s Degree B.E Metallurgical Engineering at Anna University Chennai
English, German, Tamil