Raymond Huffman
+1 (516) 695-0983 rhuffman@mit.edu http://huff.tech/ github@rhuffy
EDUCATION
Massachusetts Institute of Technology, Class of 2021 Manhasset High School, Class of 2017
B.S. in Computer Science (Course
6-3) GPA: 4.45/4.0 SAT: 2300
Gordon
Engineering Leadership Program
Skills: Python, Java, C/C++, TypeScript, React, Julia, HTML,
Angular, Git, AWS, Google Cloud Platform
WORK EXPERIENCE
Palantir
Technologies Summer 2020
Incoming Software Engineering Intern.
Rentingway June 2019-present
Developing a mobile/web app in React and a Firebase back-end for a real estate
technology startup. Implemented secure ACH payment processing and bank account
authentication using Dwolla.
Lockheed
Martin Advanced Technology Lab Summer
2019, Summer 2018
Implemented
multiple features in a DoD machine learning platform. Programmed an interactive
visualization tool used to display histories of model training, testing, and
prediction generation.
Developed software
for a distributed search optimization problem in Julia and JuMP.
Applications include allocating sensor resources on a battlefield with limited
information.
Citco Fund Services Summer
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.
FSAE MIT Motorsports
September 2017-present
Programmed
embedded software for charging, regenerative braking, and a touch screen
dashboard on an electric racecar. Software written in C and C++ for STM32 Arm-based
microcontrollers.
MIT Global Teaching Labs – Italy January 2019
Taught
computer science at an Italian technical high school. Material included
programming in C, Java basics, Java GUI using Swing, relational databases and
SQL.
Google CodeU Summer
2018
Participated
in an invitation-only software engineering program, mentored by a Google
engineer.
Wrote extensions for a
chat-app using Google Cloud Platform AppEngine, Java, and JSP.
RESEARCH EXPERIENCE
Institute
of Genetic Medicine, Johns Hopkins University Summer
2016
Finalist -
Intel International Science and Engineering Fair
Developed a
computational model that aggregates genetic data and identifies potential abnormalities.
Used unsupervised machine learning to sort and classify suspect genetic regions.
Feinstein Institute for Medical Research Summer
2015
Published
– 2nd Author
– Journal of Investigative Medicine,
February 2016
Sequenced and
analyzed genomes of breast cancer patients and isolated common mutated genes.
Manhasset High School 2016-2017
Finalist -
Intel International Science and Engineering Fair
Developed a
machine learning model using Keras to predict if gene
mutations will be harmful.
EXTRACURRICULAR
ACTIVITIES
MIT Varsity
Sailing
MIT Wind
Ensemble
MIT
Electric Racecar Team