Systems • ML • Performance
Skandan C Yalagach
Computer Science undergraduate interested in high-performance computing, machine learning systems, and numerical optimization.
I build C++ software for performance critical machine learning using benchmarking and performance analysis to guide design decisions.
About
Based in Mysore, India.
Pursuing a B.E. in Computer Science and Engineering (Artificial Intelligence & Machine Learning), August 2023 – Present.
Current Work
- Building Glacier.ML - a CPU-focused machine learning framework in C++.
- Studying roofline analysis and performance modeling for numerical kernels in Glacier.HPC.
- Exploring optimization techniques for scientific computing on commodity hardware.
- Contributing to Open Source C++ infrastructure.
Featured Projects
Glacier.ML
A machine learning framework focused on CPU performance, numerical methods, and modular design.
Glacier.HPC
Experimental tools for performance analysis, benchmarking, and roofline evaluation of computational kernels.
Open Source
Contributions to open-source projects are documented in the Projects page, including repositories, pull requests, and implementation summaries.
Writing
I write about systems programming, numerical computing, machine learning, optimization, and topics that lie between mathematics and software.