Matthew Warkentin, Developer in Portland, OR, United States
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Matthew Warkentin

Verified Expert  in Engineering

Machine Learning Developer

Location
Portland, OR, United States
Toptal Member Since
March 8, 2019

Since 2014, Matthew has been working professionally in the fields he loves, software and data—culminating in him co-founding the Rubota corporation in 2017. Before that, he spent the past decade at Cornell University conducting scientific research specifically in statistical and biological physics. All in all, Matthew is an engaging, intense communicator with a passion for knowledge and understanding.

Portfolio

Toptal Client
Analytics, Data Analysis, Business Requirements, Data Pipelines, SQL...
Toptal Client
Amazon Web Services (AWS), SQL, Python, Pricing Models, Data Analysis...
Rubota Corporation
Machine Learning, Python, Data Pipelines, Data Science, Linux, Statistics...

Experience

Availability

Part-time

Preferred Environment

Amazon Web Services (AWS), Linux, Python, SQL, Google Cloud Platform (GCP), Statistics

The most amazing...

...thing I've done was to co-found Rubota, a supply chain intelligence technology startup.

Work Experience

VP | Data and Analytics

2020 - PRESENT
Toptal Client
  • Built a world-class data and analytics function to handle hundreds of millions of user interactions covering infrastructure, warehousing, reporting/dashboards, real-time graph-based recommendations, propensity models, in-app search, and automated QA.
  • Managed over 10x user growth accompanying the launch of strategic partnership.
  • Supported the decision-making for 4-6 projects or product features per quarter in engineering, product, marketing, and finance.
  • Developed a real-time computer vision system for officiating match play in live streams using multimodal LLMs.
Technologies: Analytics, Data Analysis, Business Requirements, Data Pipelines, SQL, Computer Vision, Machine Learning, Optimization, AI Model Training, Data Science, Linux, Statistics, Modeling, Visualization, Data Engineering, Google Cloud Platform (GCP), Artificial Intelligence (AI)

Data Scientist (Generalist)

2019 - 2020
Toptal Client
  • Developed end-to-end marketing data and analytics solution, covering scraping, fusion, predictive modeling, deployment, reporting, and evaluation.
  • Completed studies and proofs of concept for company leadership and regularly advised at that level.
  • Built a hybrid statistical/NLP model for the impact of online reviews.
  • Created a qualitative analysis framework to develop coding schemes for survey responses.
  • Developed a predictive model for an all-in cost of delivery using years of historical data.
  • Built prototype eCommerce pricing and UX model based on years of historical sales data. Spun out with multiple rounds raised.
Technologies: Amazon Web Services (AWS), SQL, Python, Pricing Models, Data Analysis, Business Requirements, Data Pipelines, Machine Learning, Optimization, AI Model Training, Data Science, Linux, Statistics, Modeling, Visualization, Data Engineering, Analytics, Artificial Intelligence (AI)

Co-founder | Vice President of Data and Analytics

2017 - 2019
Rubota Corporation
  • Collected and integrated data from disparate sources into a unified model.
  • Worked with the chief engineer to develop a platform data model.
  • Integrated in-house and third-party entity analytics.
Technologies: Machine Learning, Python, Data Pipelines, Data Science, Linux, Statistics, Modeling, Visualization, Data Engineering, Data Analysis, Business Requirements, SQL, Analytics, Artificial Intelligence (AI)

Data Scientist

2014 - 2016
Thetus Corporation
  • Produced prototypes and handled third-party integrations.
  • Engaged with customers to understand their data and applications.
  • Supported sales and marketing with demonstrations tailored to target customers.
  • Led the analysis team supporting sales to industry clients.
Technologies: Amazon Web Services (AWS), Python, Data Analysis, Business Requirements, Data Pipelines, Data Science, Linux, Statistics, Modeling, Visualization, Data Engineering, Optimization, SQL, Analytics, Machine Learning, Artificial Intelligence (AI)

Postdoctoral Researcher

2009 - 2014
Cornell University
  • Authored eight peer-reviewed studies in X-ray science, structural biology, and statistical mechanics.
  • Developed novel analytical and visualization tools to investigate protein conformational motions.
  • Managed the teams running experiments at Cornell's X-ray source and Argonne National Lab under extreme time pressure (typically 24 to 48 hours from start to finish).
  • Built and maintained data pipelines to construct 3D models of macromolecules from thousands of X-ray images.
Technologies: Python, Data Analysis, Data Pipelines, Computer Vision, Machine Learning, Optimization, Data Science, Linux, Statistics, Modeling, Physics, Visualization, Data Engineering, Bioinformatics

Graduate Research Assistant

2004 - 2009
Cornell University
  • Pioneered experimental techniques to exploit opportunities in the rapidly-evolving field of structural biology.
  • Standardized and automated existing data collection and processing practices, resulting in a greatly increased impact on the final product.
  • Managed undergraduate research projects, typically resulting in co-authorship on publications in international scientific journals.
Technologies: Linux, Python, Data Analysis, Data Pipelines, Computer Vision, Data Science, Statistics, Modeling, Physics, Visualization, Data Engineering, Optimization, Bioinformatics

Rubota Corporation

At Rubota, a supply chain intelligence technology startup, I served as the co-founder and VP of data and analytics. My primary focus was on developing unstructured analytics for integrated supply chain for an enterprise customer.

Languages

SQL, Python

Platforms

Google Cloud Platform (GCP), Amazon Web Services (AWS), Linux

Other

Data Engineering, Machine Learning, Statistics, Physics, Modeling, Data Analysis, Visualization, Optimization, Computer Vision, Analytics, Business Requirements, AI Model Training, Artificial Intelligence (AI), Pricing Models

Paradigms

Data Science

Storage

Data Pipelines

Industry Expertise

Bioinformatics

2004 - 2009

PhD Degree in Physics

Cornell University - Ithaca, NY, USA

2000 - 2004

Bachelor of Arts Degree in Physics

UCSC | University of California, Santa Cruz - Santa Cruz, CA, USA

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