Raymond Huffman

Software Engineer at Palantir Technologies
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Contact Information
us****@****om
(386) 825-5501
Location
Cambridge, Massachusetts, United States, US
Skills

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Experience

  • Palantir Technologies
    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer
      • Sep 2022 - Present

  • MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
    • United States
    • Higher Education
    • 300 - 400 Employee
    • Research Assistant
      • Sep 2021 - Jan 2023

  • Rentingway
    • United States
    • Real Estate
    • Software Engineer
      • Jul 2019 - Sep 2022

  • Palantir Technologies
    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer Intern
      • Jun 2021 - Aug 2021

  • Tesla
    • United States
    • Motor Vehicle Manufacturing
    • 700 & Above Employee
    • Software Engineer Intern
      • Nov 2020 - Feb 2021

  • Palantir Technologies
    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer Intern
      • Jun 2020 - Oct 2020

  • MIT Motorsports
    • United States
    • Motor Vehicle Manufacturing
    • 1 - 100 Employee
    • Harnessing Lead and Embedded Programmer
      • Sep 2017 - May 2020

      Wrote embedded software and designed electrical systems on a Formula-style electric racecar. Wrote embedded software and designed electrical systems on a Formula-style electric racecar.

  • Lockheed Martin
    • United States
    • Defense and Space Manufacturing
    • 700 & Above Employee
    • Software Engineering Intern
      • Jun 2019 - Aug 2019

  • MIT MISTI Global Teaching Labs
    • Milan, Italy
    • Student Teacher
      • Jan 2019 - Jan 2019

      Taught computer science at an Italian technical high school for three weeks. Material included programming in C, Java basics, Java GUI using Swing, relational databases and SQL. Taught computer science at an Italian technical high school for three weeks. Material included programming in C, Java basics, Java GUI using Swing, relational databases and SQL.

  • Lockheed Martin
    • United States
    • Defense and Space Manufacturing
    • 700 & Above Employee
    • Software Engineering Intern
      • Jun 2018 - Aug 2018

      Intern at the Lockheed Martin Advanced Technology Laboratories, focusing on optimization research. Implemented a distributed search optimization problem in Julia and JuMP. Applications include planning and allocating sensor resources on a battlefield with limited information. Intern at the Lockheed Martin Advanced Technology Laboratories, focusing on optimization research. Implemented a distributed search optimization problem in Julia and JuMP. Applications include planning and allocating sensor resources on a battlefield with limited information.

  • Google
    • United States
    • Software Development
    • 700 & Above Employee
    • CodeU Program Participant
      • Jun 2018 - Aug 2018

      Participated in an invitation-only software engineering program, mentored by a Google engineer. Wrote extensions for a chat-app using Google’s AppEngine, Java, and JSP. Participated in an invitation-only software engineering program, mentored by a Google engineer. Wrote extensions for a chat-app using Google’s AppEngine, Java, and JSP.

  • The Citco Group Limited
    • Cayman Islands
    • Financial Services
    • 700 & Above Employee
    • Software Engineering Intern
      • Jul 2017 - Aug 2017

      Designed and implemented ETL procedures for a secure petabyte-scale data lake on AWS. Rewrote ETL scripts to prepare for automated trade reconciliation with SAP Machine Learning. Designed and implemented ETL procedures for a secure petabyte-scale data lake on AWS. Rewrote ETL scripts to prepare for automated trade reconciliation with SAP Machine Learning.

  • The Johns Hopkins University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Computational Biology Research Intern
      • Jun 2016 - Jul 2016

      Developed a computational model that aggregates RNA-seq data and identifies potential intron retention events. It uses unsupervised machine learning to sort and classify suspect introns. Developed a computational model that aggregates RNA-seq data and identifies potential intron retention events. It uses unsupervised machine learning to sort and classify suspect introns.

  • The Feinstein Institutes
    • United States
    • Research Services
    • 100 - 200 Employee
    • Visiting Research Scholar - Genomics
      • Jun 2015 - Aug 2015

      Summer research internship in The Laboratory of Translational Genetics at the Feinstein Institute for Medical Research, part of the Northwell Health System (formerly North Shore LIJ). This lab focuses on discovery and validation of biomarkers that could potentially allow for early detection of cancer, specifically breast and ovarian cancers. My research focused on determining specific genetic variants in DNA that create a predisposition for breast cancer. Publication: http://jim.bmj.com/content/64/3/817.3 I received this opportunity as part of a scholarship award provided by the Manhasset Women's Coalition Against Breast Cancer. http://www.feinsteininstitute.org/robert-s-boas-center-for-genomics-and-human-genetics/ Show less

Education

  • Massachusetts Institute of Technology
    Master of Engineering - MEng, Electrical Engineering and Computer Science
    2021 - 2023
  • Massachusetts Institute of Technology
    Bachelor of Science - BS, Computer Science and Engineering
    2017 - 2021
  • Manhasset High School
    High School
    2013 - 2017

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