Emmanuel Nwanguma
ML Engineer·LLM Integration·RAG Pipelines·Production AI
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Fine-tuned Microsoft Phi-4 Mini (3.8B) on SEC financial Q&A using QLoRA. Achieved +69% ROUGE-L over base model. Live demo on Hugging Face.
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Production ML system for heart disease risk prediction. 88.5% accuracy. FastAPI REST API, SHAP explainability, MLflow tracking, Docker deployment.
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Production RAG pipeline with FAISS vector search, semantic chunking, and LLM observability. Sub-500ms retrieval on 100K+ documents. FastAPI backend deployed on Render
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Built evalflow — an open-source pytest-style quality gate for LLMs. Catches prompt regressions before production by diffing live outputs against a saved baseline. Live on PyPI. github.com/emartai/evalflow
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