Arjun Nair is a software engineer with 10 years of experience who blends production-grade systems engineering with machine learning research, currently working in Hamburg after completing an ML-focused MSc at RPTU Kaiserslautern. He helped architect performance-critical features at Ansys—delivering >70% memory improvements and >30% runtime reductions—and later contributed to multivariate time series anomaly detection research and the TimeSeAD benchmark. A practical polyglot in Python and C++, he enjoys building developer tooling and automation (linters, coverage analyzers) and has been recognized with an innovation award and a Microsoft hackathon win. Equally at home optimizing large-scale design flows and prototyping ML models, he publishes and maintains research code to make academic advances reproducible and usable in production.
11 years of coding experience
5 years of employment as a software developer
Masters, Computer Science, 1.3, Masters, Computer Science, 1.3 at University of Kaiserslautern
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Model Engineering College
High School, High School at Bhavans Adarsha Vidyalaya
Similar to StatTrak but tracks play time via discord
Contributions:57 commits, 2 PRs, 7 pushes in 1 year 1 month
discord
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