David M.
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David M. Email & Phone Number

Sr. Machine Learning Engineer | MLOps | Data Engineer at Kaiser Permanente
Location: Portland, Oregon, United States 11 work roles 2 schools
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Role
Sr. Machine Learning Engineer | MLOps | Data Engineer
Location
Portland, Oregon, United States

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David M. is listed as Sr. Machine Learning Engineer | MLOps | Data Engineer at Kaiser Permanente, based in Portland, Oregon, United States. AeroLeads shows a matched LinkedIn profile for David M..

David M. previously worked as Sr. Machine Learning Engineer at Kaiser Permanente and Software Developer & Data Engineer at Kaiser Permanente. David M. holds Industrial Engineer, Industrial Engineering from Universidad Distrital Francisco José De Caldas.

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Kaiser Permanente

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About David M.

With nine years of experience in data analysis, business intelligence, data engineering, software development, machine learning, and MLOps, I specialize in the development and deployment of machine learning models using Microsoft Azure. Currently, I am actively engaged in creating recommender systems to deliver personalized healthcare articles to patients. In this role, I manage the end-to-end machine learning pipeline and ensure optimal system performance. Additionally, I am experimenting with large language models for summarizing and recommending healthcare articles, further enhancing our offerings.

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David M.'s current company

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Kaiser Permanente
Kaiser Permanente
Sr. Machine Learning Engineer | MLOps | Data Engineer
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11 roles

David M. work experience

A career timeline built from the work history available for this profile.

Sr. Machine Learning Engineer

Current

Oakland, California, US

  • Collaborating with data architecture, data governance, and security teams to ensure solutions and meet required standards in the Solutions Architect Design document (SAD) for deploying Healthcare Recommender Systems in.
  • Content recommender
  • Collaborative filtering recommender
  • FAQs
  • Classes and Programs recommenderWorking with data scientists to design effective workflows and architectures for activating Recommender System ML models, optimizing impact in real-time streaming and offline batch.
Jun 2022 - Present

Software Developer & Data Engineer

Oakland, California, US

Stabilized and enhanced Azure Data Factory critical pipelines to reduce cost, time, redundancies, and complexity.Developed custom orchestration process to trigger over 800 ETL jobs in Azure Data Factory to coordinate data cross 9 KP regions. High complexity in the solution that includes token activation, dependencies validation, schedulers (daily, weekly.

Dec 2021 - Jun 2022

Senior Consultant

Oakland, California, US

Architectural Runway - TeamExplored, tested, and developed POCs of latest Azure releases to provide new capabilities and increase efficiency to extract, transform, and load data (Azure Data Factory) from a wide variety of data sources using SQL (Synapse and Hive).Supported and collaborated with business users and value streams to recognize and help adopt.

Jul 2019 - Dec 2021

Data Integration Developer

Oakland, California, US

Developed and deployed on production the Transfer Files Automation framework. A web app to automate and optimize files transfer between servers. Using Agile methodology through Jira. Tools and languages used: Python, Django, Apscheduler, Watchdog, Paramiko, Pipenv, Git, PyTest, Oracle DB. Algorithms include job scheduler, files transfer, emailer, password.

Feb 2019 - Jul 2019

Computer Vision / Data Engineering Project Lead

Gap Ml (Open Source)

Lead developer for the computer vision module in Gap, an open source ML data engineering framework. Duties include design, coding, testing, and progress reporting. Tools and languages used: Python, Keras, openCV, HDF5, Git, PyTest. Algorithms include image transformations, image augmentations, dataset management, persistent storage, streaming, feeders for.

Jul 2018 - Jan 2019

Machine Learning Apprentice

Events - Volunteer
  • ## Portland, OR Mar-May 2018 ##Kaggle CompetitionTF-NW Team
  • Participated at iMaterialist Furniture Competition as a member of the TensorFlowNW team (GitHub Repo) ending at the 73 position in the private leaderboard of 428 teams.
  • Tested several visual recognition models of Machine Learning such as RESNet, Inception, NASnet_Large, and NASnet_mobile. Using Keras and Tensorflow, explored data augmentation, TTA, and different platforms such as.
  • Helped Manceps team prepare for the 2018 OSCON Convention.
  • Demonstrated with TensorFlow for Poets on Google Colab how to download a data set, train, freeze, compile and deploy the model on a Raspberry Pi vision kit to identify objects in real time with its camera.## Portland.
  • Helped as an Event Organizer in the monthly TensorFlow meetup.
Sep 2017 - Aug 2018

Business Intelligence Consultant

Mexico City, Mexico City, MX

  • Freelance: Coached Customer Service Manager on database best practices
  • Designed Extract, Transform, and Load (ETL) pipeline from raw information until final dashboard
  • Designed database structure for three businesses of Mexichem (Mexichem Resins, Mexichem Compounds, Mexichem Derivatives)
  • Linked tables from a variety of sources (SAP, MS Excel, and CSV) to MS SharePoint allowing real time information flow and version control- Built relational databases using MS Power Query in MS Excel- Created online.
  • Made the following recommendations to management:- Upgrade MS Excel dashboards to MS Power BI or Tableau- Switch to SQL Server (or similar infrastructure) to improve data security, stability, and the management and.
Nov 2017 - Jul 2018

Market Intelligence Analyst

Bogotá, Bogotá, CO

  • Responsible for market strategies and database management
  • Built and administered physical data and digital databases (housed in SQL Server) of personal information and ensured our company followed Habeas Data law
  • Managed data entry team to digitalize printed forms to the database and physical data storage
  • Automated and analyzed metrics in Google Analytics through an API connection (built in python) from elespectador.com to develop strategies for editors and writers to improve content and traffic
  • Analyzed subscriber profiles with the use of information hosted in the CRM (housed in SQL Server) software crossed with TGI, EGM studies, and geo-positioning to develop strategies for increasing subscriptions
  • Automated data compilation and transformation for daily dashboards and reports using Python, Power Query, and Stored Procedures in SQL Server
Oct 2016 - Sep 2017

Marketing Analyst

Bogotá, Cundinamarca, CO

  • TV advertising planner in charge of 6 clients and responsible for managing media databases (TV, Radio, printed media, and websites)
  • Analyzed business information from Caracol Media Group customers to develop their marketing strategies
  • Created dashboards and reports allowing company executives to evaluate and market programming based on common KPIs
  • Designed and administrated MS SharePoint structure for the team to centralize and control version for documents, presentations, reports, calendars and dashboards
  • Administrated MS SharePoint users to share information with other teams and external customers
  • Utilized MS Excel and Access to optimize marketing dashboards and reports allowing for efficient daily, weekly, and monthly updating
Feb 2013 - Mar 2016

Customer Service Assistant

Mexico City, Mexico City, MX

  • Responsible for developing the annual survey and present result to managers of Mexichem Resins, Mexichem Compounds, and Mexichem Derivatives
  • Designed and conducted the annual customer satisfaction survey
  • Analyzed survey results, identified shortcomings in internal procedures and developed corrective action and strategies to enhance customer relations
  • Created an application in MS Access to receive and track customer complaints and suggestions
Aug 2012 - Feb 2013

Bogota Regional Intern

Bogotá, Cundinamarca, CO

  • Designed and implemented the ScoreCard Balance project, providing an effective way to present monthly progress reports to directors and managers.
  • Utilized MS Excel to generated dynamic reports of the management indicators and results.
  • Created database in MS Access to efficiently administer information regarding employee work performance.
Jun 2011 - Dec 2011
2 education records

David M. education

Industrial Engineer, Industrial Engineering

Universidad Distrital Francisco José De Caldas

English Language, Language

Chemeketa Community College
FAQ

Frequently asked questions about David M.

Quick answers generated from the profile data available on this page.

What company does David M. work for?

David M. works for Kaiser Permanente.

What is David M.'s role at Kaiser Permanente?

David M. is listed as Sr. Machine Learning Engineer | MLOps | Data Engineer at Kaiser Permanente.

Where is David M. based?

David M. is based in Portland, Oregon, United States while working with Kaiser Permanente.

What companies has David M. worked for?

David M. has worked for Kaiser Permanente, Gap Ml (Open Source), Events - Volunteer, Mexichem, and El Espectador.

How can I contact David M.?

You can use AeroLeads to view verified contact signals for David M. at Kaiser Permanente, including work email, phone, and LinkedIn data when available.

What schools did David M. attend?

David M. holds Industrial Engineer, Industrial Engineering from Universidad Distrital Francisco José De Caldas.

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