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Byron Pineda
Staff/Lead Data Scientist specializing in Generative AI, NLP/LLMs, and MLOps
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About
Lead Data Scientist (10+ years) with recent work in healthcare data: built production pipelines that unify EHR, genomics, and clinical notes using NLP (spaCy/BERT/BioBERT) and scalable Spark-based processing. Also led development of domain-specific LLM/NLP systems for chatbots and semantic search, deploying models via FastAPI/Flask and improving retrieval with FAISS-backed, fine-tuned clinical embeddings and RAG-style workflows.
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Key Strengths
- Led multi-modal healthcare data integration (EHR, genomics, clinical notes) into unified feature store + inference pipeline
- Designed multi-stage entity resolution strategy (deterministic + probabilistic + fuzzy matching) with clinical concept canonicalization
- Improved semantic linking/search relevance using domain-adapted embeddings in FAISS with RAG-style retrieval
- Production-grade ML/data workflow engineering (orchestration, CI/CD, IaC, observability, retraining/rollback)
- Strong prototype-to-production decisioning using explicit go/no-go criteria (performance, latency, cost, reliability) and controlled rollouts
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