CV

Experience Highlights

Modern neural (transformer, rnn, etc.) and more traditional nlp modeling for:
- Intelligent data pipeline routing
- Document pair detection
- Document structure detection and entity extraction
- Active learning for efficient text annotation
Distributed, streaming, and event-based data processing and storage
- Systems architecture design and implementation
Teaching and training in both academic, enterprise, and conference settings
Community organizer for local conferences and Meetup group

Mgr. Data Science / Capital One (Jan 2020 - Present)
- Individual contributor, machine learning lead for conversational AI NLP components
Sr. Mgr. Data Science / Snagajob (Jun 2019 — Jan 2020)
- Data science senior leadership role, defining and overseeing data science strategy and execution
Lead Data Scientist / S&P Global (Nov 2017 - Jun 2019)
- Data science team lead for document enrichment and information extraction pipelines
Lead Data Scientist / Optum (Nov 2016 - Nov 2017)
- Data Science and Engineering lead for enterprise cybersecurity group
Data Scientist / Snagajob (Jan 2016 — Nov 2016)
- Data science individual contributor role focused on recommendations and information retrieval
Data Science Curriculum Developer / Cloudera (Jul 2015 - Jan 2016)
- Scalable data science enterprise education lead
Principal Analyst/ Capital One (Feb 2014 - Jul 2015)
- Data analyst and engineer focusing on operational analytics

NLP: huggingface, spacy, allennlp, prodigy
Data Science: python, pytorch, pandas, numpy, scipy, tensorboard, pyspark, sparkml
Data Ops: docker, ec2, emr, sqs, kafka
Data Storage: redis, elasticsearch, snowflake, s3, hdfs