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Dhwani Patel
Mid-level Full-Stack Python Developer specializing in AI/ML and backend APIs
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About
Python/Django backend engineer with open-source experience upgrading Archivematica to Django 4.2 LTS, including resolving a tricky breaking change in datetime parsing by implementing a preservation-safe legacy timestamp conversion layer. Also built a cost-efficient, reproducible Small Language Model (Microsoft Phi-3) fine-tuning pipeline that turns CSV product data into a domain-specific searchable Q&A chatbot, with emphasis on memory optimization and overfitting prevention.
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Key Strengths
- Upgraded a complex open-source Django codebase to Django 4.2 LTS (refactors, dependency updates, compatibility fixes)
- Debugged and resolved breaking behavior change in datetime parsing by adding a legacy-to-ISO conversion layer
- Built an end-to-end SLM fine-tuning pipeline (Phi-3) to create a domain-specific searchable Q&A chatbot from CSV data
- Focus on production maintainability: strict typing, separation of business logic from infrastructure, layered testing
- Production reliability mindset for AI: treat outputs as untrusted input with validation, grounding, and fallbacks
- Improved backend query performance by refining Django ORM filters to avoid unnecessary scans
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