Jamie Voynow

Jamie Voynow Email and Phone Number

Machine Learning Engineer at Cantor @ Cantor Fitzgerald
Jamie Voynow's Location
New York, New York, United States, United States
Jamie Voynow's Contact Details

Jamie Voynow personal email

n/a
About Jamie Voynow

Jamie Voynow is a Machine Learning Engineer at Cantor at Cantor Fitzgerald. They possess expertise in mathematics, artificial neural networks, leadership, pandas, scikit learn and 29 more skills. Colleagues describe them as "Excellent learner; positive, infectious attitude. Keeps a fun environment while maintaining a continuous track record of outcomes. Embraces ambiguity and seeks to act always in the best interest of the client. Open and honest communicator, seamlessly builds trust with teams and business partners. Able to understand and contribute to complex infrastructure."

Jamie Voynow's Current Company Details
Cantor Fitzgerald

Cantor Fitzgerald

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Machine Learning Engineer at Cantor
Jamie Voynow Work Experience Details
  • Cantor Fitzgerald
    Machine Learning Engineer
    Cantor Fitzgerald Apr 2024 - Present
    New York, New York, Us
    AI Wizard, turning documents into insights
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  • Vanguard
    Senior Data Engineer
    Vanguard Nov 2023 - Apr 2024
    Valley Forge, Pa, Us
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  • Vanguard
    Data Engineer
    Vanguard Apr 2022 - Nov 2023
    Valley Forge, Pa, Us
    - Developed an AWS Glue development automation tool, accelerating ETL development and saving hundreds of engineering hours annually- Gained recognition as the in-house Cloudability cost optimization specialist, strategizing and executing cost-reduction tactics for $600k+ in annual savings- Served as SME for the division's mission-critical ETL pipeline; championed key enhancements: handling upstream data migration & reformatting, historical backfill job, and major 4000+ line code refactor- Key contributor to our ETL Modernization initiative, spearheading the creation of AWS Lambda Functions, AWS Step Functions, scalable ETL Pipelines, Infrastructure as Code (IAC) for Glue Databases, etc. - Acted as Chief of Staff for the 'data-as-a-product' strategy, amalgamating insights from C-level stakeholders to shape executive decision-making
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  • Lockheed Martin
    Data Scientist
    Lockheed Martin Jun 2021 - Apr 2022
    Bethesda, Md, Us
    - Integrated model delivered by Johns Hopkins APL into existing ensemble classifier- Refactored ensemble voting scheme, resulting in a 100x performance improvement- Secured funding for / lead R&D of time-series anomaly detection for ballistic missile defense- Developed API wrapper (sentinel-hub) to extract satellite data
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  • University Of Vermont
    Researcher
    University Of Vermont Sep 2020 - Aug 2021
    Burlington, Vermont, Us
    - Recipient of NSF funded grant for high performance computing, computer vision, and deep learning- Worked with state of the art computer vision architectures (i.e. ResNet, Object Detection, etc.)- Built dataset containing labeled images of road assets along with a baseline object detection model- Deployed code to our schools distributed computing system/supercomputer, Deep Green
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  • Uvm College Of Engineering And Mathematical Sciences
    Teaching Assistant: Machine Learning
    Uvm College Of Engineering And Mathematical Sciences Jan 2020 - May 2021
    Burlington, Vermont, Us
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  • Uvm College Of Engineering And Mathematical Sciences
    Teaching Assistant: Python
    Uvm College Of Engineering And Mathematical Sciences Jan 2019 - Dec 2019
    Burlington, Vermont, Us
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  • Lockheed Martin
    Engineering Intern (Machine Learning)
    Lockheed Martin Jun 2020 - Aug 2020
    Bethesda, Md, Us
    - Upgraded model’s post processing system, resulting in a 1,000x performance improvement- Developed a novel performance visualization method used during stakeholder meetings
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  • Lockheed Martin
    Engineering Intern (Software Engineering)
    Lockheed Martin May 2019 - Aug 2019
    Bethesda, Md, Us
    View

Jamie Voynow Skills

Mathematics Artificial Neural Networks Leadership Pandas Scikit Learn Data Science Matlab Teaching Data Analysis Keras Communication Data Analytics Deep Learning E Learning Matplotlib Artificial Intelligence Java Data Modeling Time Management Probability C++ Feature Engineering Numpy Python Teamwork Problem Solving Software Development Convolutional Neural Networks Machine Learning Mathematica Regression Analysis Statistics Self Learning Github

Jamie Voynow Education Details

  • University Of Vermont
    University Of Vermont
    Computer Science (Bs)

Frequently Asked Questions about Jamie Voynow

What company does Jamie Voynow work for?

Jamie Voynow works for Cantor Fitzgerald

What is Jamie Voynow's role at the current company?

Jamie Voynow's current role is Machine Learning Engineer at Cantor.

What is Jamie Voynow's email address?

Jamie Voynow's email address is jv****@****mco.com

What schools did Jamie Voynow attend?

Jamie Voynow attended University Of Vermont.

What skills is Jamie Voynow known for?

Jamie Voynow has skills like Mathematics, Artificial Neural Networks, Leadership, Pandas, Scikit Learn, Data Science, Matlab, Teaching, Data Analysis, Keras, Communication, Data Analytics.

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