Taylor Eisman
Georgetown,TX
Summary
Innovative and results-driven engineer with extensive experience in artificial intelligence, wireless communications, and embedded systems, complemented by a strong background in 5G infrastructure, FPGA development, and quantum communications. Expertise in designing and implementing cutting-edge engineering solutions within dynamic environments. Proficient in MATLAB, Python, Verilog, and advanced signal processing, ready to leverage these skills to drive impactful projects and advance technological innovations. Committed to fostering collaboration and delivering high-quality results that align with organizational goals.
Overview
11
11
years of professional experience
Work History
Research Assistant
University of Texas at San Antonio
San Antonio, TX
11.2025 - Current
- Formulating Machine Learning for Wireless Communications
- Applied Machine Learning to Wireless Networks
- Formulating advanced methods for interference cancellation
- Implementing Physical Layer Security methods for advanced 5G Communications
Engineering Consultant
Nixon Peabody
San Antonio, TX
09.2022 - 09.2023
- Conducted research and analysis to enhance lawyers' strategies in patent-related legal matters.
- Employed MATLAB to deliver analytical insights supporting project objectives.
- Developed comprehensive documentation to support legal case proceedings.
ACE Lab
University Of Texas At San Antonio
San Antonio, TX
05.2016 - 05.2021
- Engineered advanced aerial and land-based drone communications technology, contributing to the objectives of the TECHLAV research grant.
- Engineered aerial and land-based drone technologies for integration with the robotic operating system ROS.
Engineering Intern
Air Force Research Laboratory
Rome, NY
06.2017 - 08.2017
- Designed a robust benchmarking system for deep learning classifiers, leveraging cloud Docker technology to streamline deployment and testing processes.
- Collaborated with a team of researchers to diagnose and resolve signal interference issues in Wi-Fi networks.
Engineering Intern
Oak Ridge National Laboratories
Oak Ridge, TN
06.2015 - 08.2015
- Conducted in-depth analysis and experimentation to drive progress in next-generation quantum communications technology.
- Established a comprehensive framework for FPGA development of an IRIG-B decoder.
- Engineered proof of concept Verilog code for integration with ID Quantique Clavis2 quantum key distribution hardware.
Education
Master of Science - Communications, software radio, and machine learning
The University of Texas At San Antonio
San Antonio, TX06.2022
Bachelor of Science - Electrical Engineering
The University of Texas At San Antonio
San Antonio, TX09.2016
Skills
- Implemented end-to-end 5G connectivity using open-source software
- Proficient in TensorFlow
- Proficient in MATLAB simulation techniques
- Skilled in Python development
- C/C software development
- Proficient in Verilog coding
- S12 instruction set knowledge
- HCS12 instruction set knowledge
- MIPS architecture knowledge
- Bash automation skills
- Physical Layer Security
- Developed K-User MIMO Interference Alignment
- Skilled with GNU Radio
- Expertise in Quantum Time Distribution systems
Timeline
Research Assistant
University of Texas at San Antonio
11.2025 - Current
Engineering Consultant
Nixon Peabody
09.2022 - 09.2023
Engineering Intern
Air Force Research Laboratory
06.2017 - 08.2017
ACE Lab
University Of Texas At San Antonio
05.2016 - 05.2021
Engineering Intern
Oak Ridge National Laboratories
06.2015 - 08.2015
Master of Science - Communications, software radio, and machine learning
The University of Texas At San Antonio
Bachelor of Science - Electrical Engineering
The University of Texas At San Antonio