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Roberto Dailey
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Roberto Dailey
  • Home
  • Resume/ Work Experience
  • MLDS
  • Demos
  • Patents/Research
  • Academic Projects
  • Renders
  • More
    • Home
    • Resume/ Work Experience
    • MLDS
    • Demos
    • Patents/Research
    • Academic Projects
    • Renders

Resume

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PhD, Operations Research and Industrial Engineering, Aug 2025 

The University of Texas at Austin 


Masters, Operations Research and Industrial Engineering, Dec 2023 

The University of Texas at Austin  


Bachelor of Science, Mechanical Engineering, May 2018 

The University of Texas at Austin 

Machine Learning Lab Intern, Samsung Advanced Institute of Technology (SAIT)
October 2022 – January 2023

  • Analyzed Optical Emission Spectroscopy recordings from plasma etch tools for use in Virtual Metrology (VM)

  • Tested statistics and machine learning based regression models, delivered highly accurate and interpretable VM model

  • Developed a system for process engineers to track OES times/wavelengths affecting metrology

Supply Chain Intern, Intel
February 2023 – June 2023

  • Tested local instances of Large Language Models for user interaction with spreadsheets

  • Built Virtual Metrology model using custom time series segmentation with trace data

  • Created system for subfab pump failure prediction

Data Science Intern, Samsung Austin Semiconductor
June 2019 – August 2019

  • Implemented advanced time series segmentation methods

  • Tested methods on large-scale data sets (~1TB /day) with high-performance computers

  • Wrote code to identify similarities between wafer defect maps

Logistics Intern, Goodman Manufacturing
June 2018 – August 2018

  • Wrote SQL code to validate and measure distributor-reported data

  • Implemented processes to improve distributor data for future logistics planning

  • Built seasonal sales and sell-through forecasts in R

  • Created Tableau dashboard to display validation and forecast results for end users

Trading Intern, TransMarketGroup
May 2017 – August 2017

  • Built empirical models of Mortgage-Backed Securities

  • Participated in company course on commodities and futures markets

  • Wrote optimization tools for nonlinear models

Robotics Intern, Applied Materials
February 2018 – June 2018

  • Developed time series segmentation code to identify robot move states

  • Used wavelet transform to diagnose robot health based on vibration data

  • Set up logistic regression to predict robot failures


dailey.roberto@utexas.edu
281-755-6504
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