Nate Bush

Nate Bush

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Vice President of Engineering, Platform
San Francisco, California, United States

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Jobs verified_user 0% verified
  • Vannevar Labs
    Vice President of Engineering, Platform and Cyber
    Vannevar Labs
    Dec 2023 - Current (2 years 10 months)
    The platform engineering organization is focused on building platform solutions that enable Vannevar Labs engineers to build data-intensive AI-first products. More recently, my focus is on building products that live at the intersection of Cyber and AI.
  • Vannevar Labs
    Head of Machine Learning and Special Projects
    Vannevar Labs
    Jun 2021 - Dec 2023 (2 years 7 months)
    • I managed the Vannevar Labs special projects team responsible for machine learning, cyber security, rapid 0 to 1 prototyping
    • Building scalable machine learning services for Natural Language Processing (NLP), Computer Vision (CV), and generative AI
    • We support a diverse set of ML and LLM services running inference on multi-modal datasets to support non-traditional ISR for the department of defense
  • Vannevar Labs
    Deep Learning Engineer
    Vannevar Labs
    Oct 2019 - May 2021 (1 year 8 months)
    • Joined the team as employee no. 2 to build products that leverage deep learning methods in computer vision (CV) and natural language processing (NLP) to solve national security problems
    • Built machine learning pipelines in PyTorch and Tensorflow that trained deep learning models on GPUs and TPUs
    • Keep up-to-date with cutting edge deep learning research in Machine Translation, Optical character recognition, Named Entity Recognition, and Coreference Resolution
    • Integrate data into frontend and machine learning workflows with Redis, Postgres, DynamoDB and S3
    • Manage process for gathering, labeling, and evaluating training data
    • Built system for processing and storing labeled data using S3 and EMR
    • Experien
  • Apple
    Machine Learning Engineer Manager
    Apple
    Aug 2018 - Sep 2019 (1 year 2 months)
    • Lead a team of machine learning engineers designing anti-fraud systems to protect customers and Apple against abuse
    • Responsible for protecting a wide range of Apple services against account takeover, financial fraud, and scripted attacks
    • Architect machine learning systems that continue to be reliable at Apple-scale of over 1 billion active devices
    • Continuously train, deploy, and evaluate performance of machine learning models in production
    • Manage highly cross-functional anti-fraud projects across many teams and functions including product marketing, human interface design, security engineering, and framework engineerings
  • Apple
    Machine Learning Engineer
    Apple
    Sep 2015 - Jul 2018 (2 years 11 months)
    • Implemented data pipelines, ETL automation, and deployed applications in production systems
    • Developed scalable Spark applications in Python and Scala
    • Heavily involved in data architecture and communication of requirements to collaborating teams
    • Implemented statistical models with an expertise in predictive modeling and classification
    • Specialized in data science applications related to account security and fraud prevention for online services
  • Apple
    Data Analyst
    Apple
    Jul 2014 - Sep 2015 (1 year 3 months)
    • Utilize big data mining systems such as Hadoop and Teradata, and employ various data mining tools using Python, Hive, PIG, Spark, SQL, Sqoop, and Oozie and Impala
    • Perform ad hoc statistical and data mining analyses that analyze historical activity to discover patterns and anomalies
    • Collaborate with data scientists and engineers to enhance improve ML models based on data insights
    • Develop reports and alerts to enhance operational visibility into production systems
  • Digitas North America
    Analyst - Advanced Analytics
    Digitas North America
    Sep 2013 - Jun 2014 (10 months)
    • Performing data analysis through data platforms including MongoDB, Hadoop, and SQL databases
    • Developing strategy and analysis of advertising and marketing campaigns through data exploration and statistical analysis of big data
    • Implement machine learning, statistical modeling, data analysis and data visualization across multiple frameworks such as Python, Jupyter, SAS, R, D3 and Tableau
  • C
    Statistician and Modeling Analyst
    Cerion Energy Inc
    Sep 2012 - Aug 2013 (1 year)
    • Implement differential equations and regression techniques to analyze physical systems
    • Interpret quantitative data and design statistical models for researching problems with MATLAB, R and Excel.
    • Optimizing stability of nanoparticle colloidal dispersions by modeling electrostatic, steric, and van de Waals forces using experimental data and theoretical models.
  • Rochester Institute of Technology
    Mathematics Teaching Assistant
    Rochester Institute of Technology
    Sep 2011 - Feb 2013 (1 year 6 months)
    • Graded homework and classwork for 160+ students each quarter.
    • Taught Project Based Calculus I,II, and III to undergraduate students in an interactive classroom setting.
  • Wells Fargo Advisors
    Financial Services Assistant
    Wells Fargo Advisors
    Jun 2011 - Aug 2011 (3 months)
    • Optimized retirement funds by choosing a diversified portfolio of stock and mutual funds in order to balance risk and return.
    • Researched IPOs, mutual funds, and technology equities.
  • Rochester Institute of Technology
    Economics Research Assistant
    Rochester Institute of Technology
    Sep 2009 - Oct 2011 (2 years 2 months)
    • Performed rigorous time series analysis of Chemical, Biological, Radiological, and Nuclear international terrorism incidents by use of forecasting techniques and computer modeling under the direction of Professor Dhongde.
  • Rochester Institute of Technology
    Economics Tutor
    Rochester Institute of Technology
    Sep 2008 - May 2011 (2 years 9 months)
    • Assisted individual students in learning introduction to microeconomic and macroeconomic theory.
Education verified_user 0% verified
  • Rochester Institute of Technology
    Master of Science (M.S, Computational and Applied Mathematics
    Rochester Institute of Technology
    Jan 2011 - Jan 2013 (2 years 1 month)
  • Rochester Institute of Technology
    Bachelor of Science (B.S, Economics
    Rochester Institute of Technology
    Jan 2007 - Jan 2011 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • P
    Presentations on Financial Mathematics and Inverse Problems Research
    Jan 2012 - Current (14 years 9 months)
    • Joint Mathematics Meeting 2013
    • AMS Sectional Conference 2012
    • RIT Graduate Research Symposium 2012
  • M
    Master's Thesis
    Jan 2011 - Jan 2013 (2 years 1 month)
    Developing and implementing numerical techniques to efficiently solve the problem of identifying a variable coefficient in parabolic and fourth-order partial differential equations.
  • P
    Presentations of CBRN Terrorism Research
    Jan 2009 - Jan 2011 (2 years 1 month)
    • RIT Undergraduate Research Conference 2009, 2010, and 2011
    • Defense Threat Reduction Agency Conference 2010
    • New York State Economics Association 2010
Publications verified_user 0% verified
  • R
    Identification of a Parameter in Fourth-Order Partial Differential Equations by an Equation Error Approach
    RIT Scholar Works
    The objective is to employ and equation error approach to identify a variable parameter in fourth-order partial differential equations. Existence and convergence results are given, and finite element based numerical experiments are provided.
  • M
    Numerical Methods for Solving the Inverse Problem of Parameter Identification in Parabolic and Fourth-Order Partial Diff
    Mathematica Slovaca Aug
    There is a broad range of mathematical problems that can be classified under the title of inverse
    problems. In this thesis we concern ourselves with the inverse problem of identifying variable
    coefficients from observation data given an underlying fourth-order or parabolic partial differential
    equation. We focus on the methods that are employed to derive the gradient of the output
    least-squares, modified output least-squares, and equation error approach cost functionals. We show
    the complete derivation of equations, computation of finite element matrices necessary to find the
    solution of the inverse problem, and display numerical results achieved by numerical implementation
    of finite element method discret
  • B
    Modeling the Kinetic Behavior of Reactive Oxygen Species with Cerium Dioxide Nanoparticles
    Biomolecules Sep
    The world of medicinal therapies has been historically, and remains to be, dominated by the use of elegant organic molecular structures. Now, a novel medical treatment is emerging based on CeO2 nano-crystals that are discrete clusters of a few hundred atoms. This development is generating a great deal of exciting and promising research activity, as evidenced by this Special Issue of Biomolecules. In this paper, we provide both a steady-state and time-dependent mathematical description of a sequence of reactions: superoxide generation, superoxide dismutase, and hydrogen peroxide catalase and ceria regeneration. This sequence describes the reactive oxygen species (ROS); superoxide, O2–, molecular oxygen, O2, hydroxide ion OH– and hydrogen per
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