Peter Resnick

Peter Resnick Email and Phone Number

Principal Machine Learning Engineer at Walgreens @ Walgreens
Peter Resnick's Location
Chicago, Illinois, United States, United States
Peter Resnick's Contact Details

Peter Resnick personal email

n/a

Peter Resnick phone numbers

About Peter Resnick

Machine Learning Engineer in the Data & Analytics space focusing on the intersection between software development, engineering and data science. Excel at solving complex business problems using quantitative analysis and advanced analytics solutions. Passionate about the relationship between technology, business and operations. Experience designing and deploying ML systems in both AWS and Azure.

Peter Resnick's Current Company Details
Walgreens

Walgreens

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Principal Machine Learning Engineer at Walgreens
Peter Resnick Work Experience Details
  • Walgreens
    Principal Machine Learning Engineer
    Walgreens Jan 2023 - Present
    Deerfield, Il, Us
    As a technical leader within the Data Science & AI organization at Walgreens, my core responsibilities include:- Development and growth of junior engineers within the organization- Technical excellence of platform level builds to enable ML Operations at scale- Pattern/Framework designs and builds to shrink product development timelines and go-live friction- Tooling and Tech stack decisions - Cost Analysis and Project Proposal ManagementSome examples of this work include:- Building a model deployment pattern using Azure DevOps Pipelines, Azure Kubernetes Services, Helm, MLflow and MLServer- API quickstarts based on Helm and FastAPI for python developers. - gRPC clients for model inference with NVIDIA Triton Inference servers, including custom transformations- Design and development of an enterprise grade ML Feature Store built with Feast and Azure Components to enable extremely low latency inferences at scale- ML Training and Feature Engineering pipeline orchestrators using Databricks Bundles and Azure DevOps Pipelines- Solution monitoring and alerting systems using Prometheus and Grafana
  • Accenture
    Manager, Applied Intelligence
    Accenture Jun 2022 - Jan 2023
    Dublin 2, Ie
    AWS Architect | Machine Learning Engineering & Operations- Oversee cloud development across a team of data engineers, machine learning engineers & data scientists- Work closely with both IT and business stakeholders to develop a flexible & scalable ML Ops strategy focused on realizing business impact - Design, develop & deploy 20+ machine learning pipelines utilizing SageMaker Pipelines in conjunction with broader team- Leverage EventBridge to construct an event-driven architecture to enable model deployment and pipeline execution triggered via business-oriented events- Design & develop a pattern-based pip installable python module to manage all machine learning code via simple commands- Create model monitoring framework to proactively flag model degradation, data drift and bias
  • Accenture
    Consultant, Applied Intelligence
    Accenture Jun 2021 - Jun 2022
    Dublin 2, Ie
  • Slalom
    Senior Consultant, Data & Analytics
    Slalom Jan 2021 - Jun 2021
    Seattle, Wa, Us
    Computer Vision Application Development- Lead design and development of containerized multi-layered machine learning application, leveraging IoT devices and emerging Computer Vision architectures- Define data-driven operational KPIs for business user consumption- Collaborate with several adjacent application teams to successfully integrate- Leverage cloud resources and platform agnostics tooling to deploy and monitor solutions (e.g. Kubernetes, Jenkins, fluentD, NewRelic, Prometheus, MQTT) Machine Learning Environment - Cloud Enablement- Define ML user journeys and identify areas of high friction and/or complexity- Create enablement tools through Jupyter Notebook development, training videos, best practice workflows and operational modelling recommendationsForecasting Enablement & Engineering- Develop and deploy modern, high-performance APIs into Azure Kubernetes Service processing 10s of millions of model inference records per day. - Implement software development best practices into Databricks-driven ML workflows such as unit, functional and integration testing, efficient and modular code refactoring, CI/CD pipelines and automated QA
  • Slalom
    Consultant, Data & Analytics
    Slalom Jul 2019 - Jan 2021
    Seattle, Wa, Us
  • Freeosk, Inc.
    Data Analyst, Performance
    Freeosk, Inc. Oct 2018 - Jul 2019
    Chicago, Il, Us
  • Freeosk, Inc.
    Project Engineer
    Freeosk, Inc. Sep 2016 - Jul 2019
    Chicago, Il, Us

Peter Resnick Skills

Solidworks Ptc Creo Leadership Microsoft Word Problem Solving Microsoft Excel Powerpoint System Dynamics Product Development Manufacturing Engineering Design For Manufacturing Cost Engineering Python Mysql Statistics Project Management Failure Mode And Effects Analysis Scikit Learn

Peter Resnick Education Details

  • Northwestern University
    Northwestern University
    Data Science And Visualization
  • Bradley University
    Bradley University
    Mechanical Engineering

Frequently Asked Questions about Peter Resnick

What company does Peter Resnick work for?

Peter Resnick works for Walgreens

What is Peter Resnick's role at the current company?

Peter Resnick's current role is Principal Machine Learning Engineer at Walgreens.

What is Peter Resnick's email address?

Peter Resnick's email address is pe****@****lom.com

What is Peter Resnick's direct phone number?

Peter Resnick's direct phone number is +184771*****

What schools did Peter Resnick attend?

Peter Resnick attended Northwestern University, Bradley University.

What skills is Peter Resnick known for?

Peter Resnick has skills like Solidworks, Ptc Creo, Leadership, Microsoft Word, Problem Solving, Microsoft Excel, Powerpoint, System Dynamics, Product Development, Manufacturing Engineering, Design For Manufacturing, Cost Engineering.

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