Data Scientist Software Engineer

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Thomas Nilson

Materials And Software Engineer

Address *** ** ******* **, ********, NJ 07832

Phone 610-***-****

E-mail ********@*****.***

LinkedIn https://www.linkedin.com/in/thomas-nilson/ Self-Motivated engineer with experience in Materials Science and Software Engineering. Flexible problem solver, with ability to work independently, communicate scientific ideas effectively, and learn new skills. Eager to gain experience and solve interesting challenges.

Core Skills

Materials Engineering

Troubleshooting and debugging

Computational Materials Science (VASP, LAMMPS, UNCLE, Gaussian) High Performance Computing

Cloud computing (AWS, Azure/CycleCloud)

API development and testing

Technical writing

Machine Learning

Full stack development

Work History

2021-09 – Current Technical Support Engineer

Materials Design Inc., Remote

Provided technical and scientific support to customers performing materials simulation research using the MedeA product, both on personal machines and at many different HPC facilities

Lead effort to automate desktop UI testing using the Python and Robot Framework, and transition to test-driven development

Developed procedure to containerize our desktop application using podman and docker, allowing for our end users to more easily install it on their secure computing clusters

Wrote documentation for cloud based computing options, and supported customers in setting up AWS and Azure as HPC resources.

2021-05 – 2021-09 QA Engineer

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Comcast, Philadelphia, PA

Designed Automated API tests

Coordinated Devops procedures to integrate testing in release process. 2019-04 – 2021-05 Test Lead

PNC Financial Services Group, Pittsburgh, PA

Created accurate and efficient test scripts written with Selenium, Java, Cucumber, and TestNG to manage automated testing of online bank account opening features

Tested REST and SOAP APIs using Karate framework, Postman, and SOAPUI

Validated test cases and wrote queries in SQL and MongoDB databases

Directed off-site teams completing manual and automated tests to support successful product development stages and releases

Developed and executed comprehensive test strategies, and deployed multiple releases for enterprise web applications

2019-01 - 2019-04 Software Engineering Associate

Revature, Morgantown, WV

Created streamlined Jenkins build for continuous integration and testing of an internal ride sharing website.

2014-01 - 2017-01 Graduate Student Researcher

Johns Hopkins University, Baltimore, Maryland

Developed java-based methods to rapidly simulate diffusion in Pt-alloy nanoparticles using cluster expansion techniques, mostly self-directed

Managed large data sets of VASP first principles calculations at various high performance computing sites

Accurately calculated properties of very small nanoparticle structures in VASP using first principles calculations.

2013-09 - 2016-05 Teaching Assistant

University Of Pittsburgh, Pittsburgh, PA

Supported multiple professors with test administration, curriculum development and assignment grading for a two week computer modeling module 2013-01 - 2014-01 Peer Tutor

University of Pittsburgh, Pittsburgh, PA, PA

Tutored undergraduates one-on-one in Physics 1 & 2 (both algebra and calculus based 2013-05 - 2013-08 Undergraduate Researcher

University Of Pittsburgh, Pittsburgh, PA

Conducted laboratory experiments on Nb-C nanoparticles using sol-gel synthesis, TEM, and XRD after thorough planning and research

2011-06 - 2011-08 Intern

Unisys, Malvern, PA

Programed in C# to assist development and testing of front-end banking application Education

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2014-09 - 2017-05 Master of Science: Materials Science and Engineering Johns Hopkins University - Baltimore, MD

Fellowships Awarded: John W. and Mary Lou Ross Gordon L. and Beatrice C. Bowles Gordon Croft

2010-09 - 2014-05 Bachelor of Science: Engineering Science University of Pittsburgh - Pittsburgh, PA

Graduated Cum laude

Awarded Outstanding Senior in Engineering Science program Software

SQL

Java

Python

TestNG

Jenkins

Cucumber

Selenium

Bash

Sonarqube/Sonarcloud

Git

VASP

Publications

“Predicting activation energies for vacancy-mediated diffusion in alloys using a transition-state cluster expansion”, Physical Review Materials, Jan 2021

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