fix(resume): re-enable project dates for clarity

- Uncomment dates for personal projects in `resume.yaml`
- Ensure project timelines are visible on the resume
- Maintain future-proofing by using general month/year format

Restoring project dates provides clearer context for personal achievements and enhances the timeline understanding for potential employers.

Author: subhayu99

resume.yaml

@@ -159,28 +159,28 @@ cv:
     personal_projects:
       # Resume + Website projects
       - name: "SQLStream"
-        # date: "Nov 2025"
+        date: "Nov 2025"
         show_on_resume: true
         highlights:
           - "Created a zero-setup SQL tool to quickly analyze data files (CSV, Parquet, Markdown, HTML, etc.) via a **CLI** or **Python library**, streamlining repetitive data quality checks without database overhead."
           - "Built a powerful **interactive shell** with syntax highlighting and history for data exploration, alongside a standard query mode for piping results into other terminal tools."
           - "Engineered a flexible system that auto-switches between **DuckDB**, **Pandas**, or native Python to execute queries, implementing smart optimizations to filter data before loading; published on [PyPI](https://pypi.org/project/sqlstream) with full [documentation](https://subhayu99.github.io/sqlstream)."
       - name: "DatasetPipeline"
-        # date: "May 2025"
+        date: "May 2025"
         show_on_resume: true
         highlights:
           - "Developed a production-ready CLI tool for transforming messy datasets into ML-ready formats; supports SFT, DPO, semantic deduplication, and quality analysis with plugin architecture."
           - "Features smart role mapping, auto-formatting for OpenAI-style training, and reproducible workflows via YAML/JSON configuration for enterprise ML pipelines."
           - "Published on [PyPI](https://pypi.org/project/datasetpipeline) and open-sourced on [GitHub](https://github.com/subhayu99/datasetpipeline) with extensible architecture for custom loaders, formatters, and analyzers."
       - name: "Smart Commit"
-        # date: "May 2025"
+        date: "May 2025"
         show_on_resume: true
         highlights:
           - "Built an AI-powered CLI tool using Python/Typer that generates context-aware git commits via OpenAI or Anthropic models, enhancing developer productivity and project history quality."
           - "Intelligently adapts to different projects by analyzing the existing tech stack, commit history, and file changes, ensuring contextually relevant and consistent messages."
           - "Published on [PyPI](https://pypi.org/project/smart-commit-ai) and [GitHub](https://github.com/subhayu99/smart-commit) with Model Context Protocol (MCP) server for direct AI assistant integration."
       - name: "DocumentAccessPOC"
-        # date: "Jan 2025"
+        date: "Jan 2025"
         show_on_resume: true
         highlights:
           - "Designed and built a zero-trust secure document system to solve granular access control challenges where traditional RBAC/ACLs fail, ensuring data confidentiality even from system administrators."