srivastavask/cvlab-ai
Apr 2025 – May 2025
2 Months active
Languages Used
PythonText
Technical Skills
Data VisualizationFile ManagementImage ProcessingJupyter Notebook
aaryanansharma
PROFILE
Aaryanansharma
Over a two-month period, contributed to the srivastavask/cvlab-ai repository by establishing foundational lab scaffolding and delivering key assets to support future development and demonstration needs. Work included creating placeholder lab files and test scaffolding to streamline onboarding and enable test-driven workflows. Developed a Jupyter Notebook tutorial illustrating gamma correction with side-by-side image comparisons, demonstrating practical image processing concepts using Python. Organized and uploaded portfolio materials, such as PDFs and presentations, to enhance project visibility and stakeholder engagement. The focus remained on feature delivery, reproducibility, and asset management, with no major bug fixes reported during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
4
Lines of code
17,913
Activity Months2
Your Network
23 peopleShared Repositories
23
Work History
May 2025
5 Commits • 3 Features
May 1, 2025May 2025 monthly summary for srivastavask/cvlab-ai. Key features delivered include Test Scaffolding Added (placeholder test.txt), Gamma Correction Tutorial Notebook (Jupyter notebook with side-by-side visual comparisons), and CV Materials for Portfolio (uploaded PDFs and PPTs for portfolio sharing). No major bugs fixed this month; focus remained on feature delivery and asset organization. Impact: enhanced demo readiness, onboarding, and portfolio storytelling; assets and notebooks prepared for stakeholder demonstrations and future testing. Technologies/skills demonstrated: Python/Jupyter workflows, basic image processing concepts (gamma correction), asset management, and disciplined version control. Business value: accelerates client demos, improves portfolio visibility, and supports reproducibility across the project lifecycle.
5 Commits • 3 Features
May 1, 2025May 2025 monthly summary for srivastavask/cvlab-ai. Key features delivered include Test Scaffolding Added (placeholder test.txt), Gamma Correction Tutorial Notebook (Jupyter notebook with side-by-side visual comparisons), and CV Materials for Portfolio (uploaded PDFs and PPTs for portfolio sharing). No major bugs fixed this month; focus remained on feature delivery and asset organization. Impact: enhanced demo readiness, onboarding, and portfolio storytelling; assets and notebooks prepared for stakeholder demonstrations and future testing. Technologies/skills demonstrated: Python/Jupyter workflows, basic image processing concepts (gamma correction), asset management, and disciplined version control. Business value: accelerates client demos, improves portfolio visibility, and supports reproducibility across the project lifecycle.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025: Established foundational lab scaffolding in srivastavask/cvlab-ai for Wed_CSET340 labs, enabling rapid future lab development. Delivered initial placeholder lab files for E22CSEU0147_Aaryanansharma and E22CSEU0147_aaryanansharma without functional changes. No major bugs fixed this month.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025: Established foundational lab scaffolding in srivastavask/cvlab-ai for Wed_CSET340 labs, enabling rapid future lab development. Delivered initial placeholder lab files for E22CSEU0147_Aaryanansharma and E22CSEU0147_aaryanansharma without functional changes. No major bugs fixed this month.
Activity
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Quality Metrics
Correctness88.6%
Maintainability88.6%
Architecture88.6%
Performance88.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonText
Technical Skills
Data VisualizationFile ManagementImage ProcessingJupyter Notebook
Repositories Contributed To
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