tathagatasrimani/codesign
Oct 2025 – Oct 2025
1 Month active
Languages Used
CPythonTclYAML
Technical Skills
BenchmarkingCode RefactoringCompiler ToolchainsEmbedded SystemsHigh-Level SynthesisScripting
Sankalp22863
PROFILE
Sankalp22863
Sankalp Naik contributed to the codesign repository by expanding its benchmarking framework to support multi-benchmark workflows. He integrated the kernel_2mm benchmark from the PolyBench suite, updating both C source files and TCL synthesis scripts to enable seamless benchmarking through the cgeist compiler. To improve flexibility, he refactored the Python codebase to dynamically handle different benchmarks, replacing hardcoded function calls with a more scalable approach. Additionally, Sankalp reorganized project scripts for better maintainability and consistency. His work demonstrated depth in benchmarking, code refactoring, and scripting, leveraging C, Python, and Tcl to enhance the repository’s scalability and long-term maintainability.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
168
Activity Months1
Your Network
20 peopleShared Repositories
20
Arjun PandeyMember
Vamshi BalanagaMember
Christi BabayejuMember
daheeheeMember
dgnadkarMember
Eric DubbersteinMember
Eric DubbersteinMember
Eric DubbersteinMember
Justin ParkMember
Work History
October 2025
3 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary focused on delivering business value through feature enhancements and stability fixes in the codesign repository. Key outcomes include the expansion of benchmarking capabilities, improved flexibility for multi-benchmark workflows, and cleaner project organization, all contributing to a more maintainable and scalable benchmarking framework.
3 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary focused on delivering business value through feature enhancements and stability fixes in the codesign repository. Key outcomes include the expansion of benchmarking capabilities, improved flexibility for multi-benchmark workflows, and cleaner project organization, all contributing to a more maintainable and scalable benchmarking framework.
October 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CPythonTclYAML
Technical Skills
BenchmarkingCode RefactoringCompiler ToolchainsEmbedded SystemsHigh-Level SynthesisScripting
Repositories Contributed To
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