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Bryan West
Senior Software Engineer specializing in AI, cloud infrastructure, and full-stack development
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About
ML/NLP engineer who built a production system that converts large-scale unstructured text into a connected, searchable knowledge base using spaCy + Sentence Transformers/FAISS and a Neo4j knowledge graph, with BERTopic and XGBoost for organization/labeling. Strong focus on production-grade Python workflows (FastAPI/Celery, Pydantic validation, Docker, AWS ECS/Lambda) and robust entity resolution with measurable precision/recall and human review for low-confidence matches.
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Key Strengths
- Built AI system turning unstructured documents into searchable knowledge base (embeddings + vector search + knowledge graph)
- End-to-end NLP pipeline design (entity extraction, semantic similarity, topic modeling, classification)
- Production deployment experience (FastAPI services, Docker, AWS; async/batch processing for scale)
- Entity resolution approach combining rules, fuzzy matching, embeddings, blocking, and XGBoost scoring
- Practical ML delivery: transitions prototypes to production with validation, error handling, logging, and monitoring
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