Arif
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Updated readme
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README.md
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## Suggested Resume Format
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**Projects** or **Portfolio** section:
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```
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RAG Observability Platform | Python, MLX, LangChain, Docker, MLflow
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Sep 2025 – Dec 2025
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A production-grade RAG system demonstrating full-stack ML engineering:
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• Engineered custom MLX-LangChain integration achieving 50+ tokens/sec on Apple Silicon
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• Implemented cross-platform device detection (MPS → CPU fallback)
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• Deployed to Hugging Face Spaces with Docker; resolved Python version conflicts
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• Integrated MLflow experiment tracking via Dagshub for centralized observability
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• Managed complex dependency isolation using UV (local MLX vs. cloud-compatible builds)
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Stack: Python 3.12 | MLX | LangChain LCEL | ChromaDB | Docker | MLflow | Dagshub
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```
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