Follow for practical React tools, Python automation, and machine learning experiments built with maintainability in mind.
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React payroll utility for converting spreadsheet rows into previewed, export-ready salary slip PDFs.
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Local vendor discovery prototype with customer pages, vendor registration, login, and MongoDB persistence.
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Responsive static landing page for AI agent evaluation, optimization, monitoring, and deployment services.
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Python research baseline for partitioned training, DP-style configuration, and unlearning certificates.
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More Work
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Colab/Jupyter notebook collection for ML lab work and CNN experiments. |
C++ implementations for searching, sorting, and recurrence analysis practice. |
Generated from live public GitHub repository data. Run scripts/maintain-profile.sh to refresh.
| Repository | Stack | Focus | Last Push |
|---|---|---|---|
| Salary_slip | JavaScript |
React and Vite salary slip generator for payroll documents. | 2026-07-25 |
| DAA | C++ |
C++ implementations of sorting and searching algorithms. | 2026-07-25 |
| my_current_project-2 | Python |
Python certified unlearning experiment with generated artifacts. | 2026-07-25 |
| Gully_cart | HTML |
Full-stack cart workflow with separated frontend and backend code. | 2026-07-25 |
| synamatic_infotech | HTML |
Static business website with Vercel deployment configuration. | 2026-07-25 |
| Colab_machinelearning_basic-Implementation | Jupyter Notebook |
Python notebooks for machine learning basics, including CNN experiments. | 2026-07-25 |
Improving production-quality React apps, building business utilities with print/export workflows, and strengthening Python automation plus machine learning foundations.

