tathagatasrimani/codesign
Oct 2025 – Jan 2026
2 Months active
Languages Used
CPythonTclYAMLLaTeX
Technical Skills
BenchmarkingCode RefactoringCompiler ToolchainsEmbedded SystemsHigh-Level SynthesisScripting
Sankalp22863
PROFILE
Sankalp22863
Sankalp Naik contributed to the tathagatasrimani/codesign repository by developing and refining a scalable benchmarking and experiment framework for hardware-software codesign research. Over two months, he expanded support for new benchmarks and experiments, integrated dynamic kernel handling, and improved data visualization and reproducibility. Using Python, C, and YAML, Sankalp automated experiment workflows, enhanced plotting infrastructure with matplotlib, and introduced robust configuration management for reproducible research. His work included debugging, code refactoring, and LaTeX-based report generation, resulting in a maintainable codebase that supports publication-ready results. The depth of his contributions enabled broader experiment coverage and more reliable performance analysis.
Overall Statistics
Feature vs Bugs
74%Features
Repository Contributions
50Total
Bugs
7
Commits
50
Features
20
Lines of code
3,027
Activity Months2
Your Network
20 peopleShared Repositories
20
Arjun PandeyMember
Vamshi BalanagaMember
Christi BabayejuMember
daheeheeMember
dgnadkarMember
Eric DubbersteinMember
Eric DubbersteinMember
Eric DubbersteinMember
Justin ParkMember
Work History
January 2026
47 Commits • 18 Features
Jan 1, 2026January 2026 performance summary for tathagatasrimani/codesign focused on delivering robust data visualization, reproducible experiment workflows, and expanded benchmarking coverage to support research and publication readiness.
47 Commits • 18 Features
Jan 1, 2026January 2026 performance summary for tathagatasrimani/codesign focused on delivering robust data visualization, reproducible experiment workflows, and expanded benchmarking coverage to support research and publication readiness.
January 2026
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.
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.
Activity
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Quality Metrics
Correctness89.2%
Maintainability85.6%
Architecture85.2%
Performance85.2%
AI Usage22.4%
Skills & Technologies
Programming Languages
CLaTeXPythonTclYAML
Technical Skills
BenchmarkingCode RefactoringCompiler ToolchainsData ProcessingEmbedded SystemsHigh-Level SynthesisLaTeXLaTeX formattingPythonPython programmingPython scriptingRegexScriptingYAMLYAML configuration
Repositories Contributed To
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