Andrew Saxe

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Modeling, Simulation, and Analysis Engineer

RTX Corporation

Apr 2024 - Current (2 years 4 months)

• Refactored a text analysis tool which uses natural language processing to find target words within documents, decreasing false positive rate by 90%. • Leading a 5 person development team to completely refactor and upgrade the GUI for an in-house simulation platform, adding new functionality, robust documentation, and cross-platform use. • Currently upgrading a Fortran IV simulation codebase written in the 1960's into modern, performant C++ while utilizing CUDA to run calculations efficiently across a distributed GPU network. • Mentoring and training incoming interns, providing hands-on guidance and support to strengthen their skill sets, productivity, and overall job readiness. • Designed and implemented a parallelization scheme usin

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Keio University

Oct 2023 - Jan 2024 (4 months)

• Led the research team by organizing meetings, ensuring timely progress, and presenting findings. • Utilized Metal CUDA training

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Machine Learning Engineer Intern

Molcure Inc.

Aug 2023 - Mar 2024 (8 months)

• Assisted in data analysis and development for a novel methodology for using Variational Auto-Encoders to allow for direct control ofantibody properties using scikit-learn and Pytorch. • Refactored the implementation ofa BERT based meta-learning algorithm from Pytorch into Pytorch Lightning, increasing observability and control when training, and decreasing runtime by 93%. • Refactored the cross-team data sharing platform written in PHP, enabling our biological scientists and data engineers to share and communicate results more effectively and efficiently.

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Customer Application Engineer Intern

Ivalua Inc.

Jun 2023 - Aug 2023 (3 months)

• Provided technical customer support and resolved C# code issues related to the procurement platform. • Updated database tables in SQL to ensure data consistency and compliance.

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Software Engineer Intern

Refraction.AI

Aug 2022 - Dec 2022 (5 months)

• Developed a proofofconcept implementation ofa deep-learning model in PyTorch to detect traffic pylons and lights, decreasing the error rate ofvehicles by 10%. • Built a data post-processing script in Python to remove inaccurate sensor readings from AV's data pipelines and analyze performance.

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Active Contributor

Michigan Aeronautical Science Association

Sep 2019 - Aug 2020 (1 year)

• Updated legacy C++ code and integrated with modern day hardware in the engine controller used for testing. • Wrote physics simulations using Python which aided the development ofthe automatic pressure control system.

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