Senior Data Scientist specializing in machine learning, NLP, and MLOps
Dallas, TXSenior Data Scientist8 years experienceSeniorTechnologySaaSMedia & Entertainment
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About
ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.
Experience
Senior Data ScientistAstroSirens
Machine Learning EngineerDatabricks
Data Science InternNetflix
Education
University of Houstonmaster, Engineering Data Science & AI (2017)
University of Houstonbachelor, Computer Science (2015)
Key Strengths
Built GPT-4 + LangChain contract review pipeline with embeddings in ElasticSearch (RAG) for legal workflows
Productionized ML/NLP systems on AWS EKS using Docker and Terraform for scalability/reliability
Improved contract review time by 70%+ before moving prototype to production
Designed entity resolution pipeline using fuzzy matching (Levenshtein) + DBSCAN with business rules; validated via precision/recall and downstream model impact
Optimized data pipeline performance via vectorized Pandas operations, batch SQL, caching (Redis), and selective compute for ambiguous/high-value cases
Refactored streaming fraud detection pipeline (Kafka + Spark) to reduce latency using Spark Structured Streaming and modular components
Implemented monitoring plus CI/CD (GitHub Actions) to improve maintainability and reduce errors
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