Jorge Duque

Software Engineer

Experience

Waystar

September 2024 - Present

Lead Software Engineer

  • Boosted team's throughput by a total of
  • Lead AI Team

Waystar

November 2021 - September 2024

Senior Software Engineer

  • Decreased client onboarding time from days to minutes by making processes self-service & config-driven
  • Enabled the team to write file ingestion software in hours as opposed to days by making reusable file parsing frameworks
  • Refactored legacy code base, making it more readable, testable, and standardized

Atos

November 2021 - July 2020

Software Engineer

  • Integrated third-party sensors for a machine learning model to ingest
  • Developed software to monitor predictive maintenance application and its hardware
  • Supported data scientists by building tools and assisting with software development

Block Engineering

July 2020 - August 2019

Data Scientist

  • Developed machine learning algorithms for gas detection and quantification using regularized regression, optimization techniques, and neural networks
  • Made CLI tools to streamline the training of neural networks, and calibrate & test the devices running our algorithms
  • Set up a Jenkins server and CI\CD pipeline for our Python software

Ulysses Commodities

February 2019 - May 2018

Data Scientist

  • Improved our margin optimization algorithms, saving twice as much money as the previous algorithm
  • Created a tool that used statistical inference to identify products that would negatively affect the margin of the portfolio
  • Developed the text-understanding component of a chatbot using regular expressions and naive-bayes algorithm

Education

University of Houston

August 2017 - May 2019

MS Applied Mathematics

  • Optimization Theory
  • Probability Theory
  • Mathematical Statistics
  • Linear Models & Regression
  • Design of Experiments
  • Stochastic Processes
  • Time-Series Analysis
  • Statistical Computing

University of Houston

August 2017 - May 2019

Graduate Certificate High-Performance Computing

  • Scientific Computing
  • High-Performance Computing
  • GPU Programming
  • Data Visualization
  • Machine Learning
  • Cluster Computing
  • Parallel Computing

University of Houston

August 2012 - May 2016

BS Mathematics & Physics

  • C Programming
  • Numerical Analysis
  • Probability Theory