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Edward Schwalb

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AI/ML Professional
California, United States

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work
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Résumé

Jobs verified_user 0% verified
  • Hexagon
    Lead Data Scientist
    Hexagon
    Jun 2013 - May 2020 (7 years)
    modeling, Development and commercialization of large scale cloud simulation technology. WS+Azure, Technical leadership for multiple teams and a total of >100 individuals. Focused on large scale simulation and scientific data viz and management.
  • Fidelity National Financial
    Principal Developer
    Fidelity National Financial
    Oct 2012 - Jun 2013 (9 months)
  • O
    Principal Developer
    Office of Naval Research,San
    Feb 2012 - Oct 2012 (9 months)
    services, models and algorithms for automated inference based on link16 network traffic.
  • Harte Hanks
    Director,Architecture
    Harte Hanks
    Feb 2011 - Feb 2012 (1 year 1 month)
    design and implementation. semi-structured and unstructured online data, web search, CMS for 1000s of customers.
  • Wells Fargo
    Sr. Database Developer
    Wells Fargo
    Feb 2010 - Feb 2011 (1 year 1 month)
    large scalefinancial data warehouses for asset based lending and receivable refactoring.
  • MONEY MAILER
    Director
    MONEY MAILER
    Jul 2007 - Feb 2010 (2 years 8 months)
    financial system, manufacturing and production systems, online web presence, and CRM.
  • First American Title
    Sr. Manager
    First American Title
    Sep 2004 - Jul 2007 (2 years 11 months)
    and system design, drive daily agile development.
  • Bank of America
    Tech Lead
    Bank of America
    Sep 2002 - Sep 2004 (2 years 1 month)
    for Mortgage Backed Sec, Mortgage Trading Utilities, Production system underwrote mortgages for >$3T/year.
  • S
    Sr. Applied Data Scientist & Engineer
    Repurposing and Integration, Concept & Vector Search, Elastic Search, Model Blending, Large Scale Optimization, Uplift analytics. Low-Latency ML integrated Search and Ranking, Attribution Pipeline for ML Training, Big Data Stream Processing (Spark+Kafka). PwC via MBO, Remote, May'20 – Apr'21: Sr. Applied Data Scientist & Engineer - Microservices for Knowledge Graph extraction from unstructured Text (Ontology learning), Resume Parsing, Clustering, Skill Extraction from Content, Recommendation Engine, Automated Data Pipeline, Meeting Diarization, Speaker and Emotion Recognition, Speech to Text.
Publications verified_user 0% verified
  • R
    Recent 2022: ASAM Regional Meeting: OpenODD Project, the world of OD, COD, ODD and more 2022: Autonomous Vehicles Expo: