Tyler Conger

Software Engineer at Textron Systems specializing in radio frequency-based defense projects. I hold both a Master's and Bachelor's degree in Computer Science. I spearheaded the development of a self-driving vehicle from the ground up, leveraging modern tools, Machine Learning, and Computer Vision.

Previously, I gained experience as a Full Stack Web Developer at Marsh McLennan, a Fortune 500 company. My academic research has focused on chatbot linguistics, autonomous vehicles, machine learning, and computer networking.

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About me

Current Software Engineer at Textron Systems, previously, a graduate student at The University of Alabama, where I spent time studying deep-learning algorithms, artificial intelligence, data science, and was part of a team to create a self driving go-kart.

Location:
Baltimore, MD
Interests:
Autonomous Vehicles, Artificial Intelligence, Data Science, Full-stack Development
Schools:
The University of Alabama
Northern Arizona University
Employment:
Software Engineer at Textron Systems

Education

Master of Science in Computer Science

The University of Alabama

•August 2022 - May 2024

During my time at The University of Alabama I spent my time working with organizations such as the Association for Computing Machinery (ACM) as well as working on a fully autonomous Kart project to compete in the Purdue autonomous kart challenge.

Notable Courses:

Machine Learning

Autonomous Vehicles
Data Science
Cybersecurity
Cryptography
Computer Networks

Bachelors of Science in Computer Science

Northern Arizona University

•August 2017 - May 2021

During my time at Northern Arizona University, I spent time as the President of the local Association for Computing Machinery (ACM) chapter. I also spent 3 years serving as an academic mentor to computer science students. I was also appointed to a specialty leadership training program, where outstanding leaders at NAU took monthly professional classes to learn to become better leaders.

Notable Courses:

Data Wrangling and Analysis

Advanced Web Development

Software Engineering
Mobile App Development
Calculus III
Linear Algebra

Work

Software Engineer

Textron Systems | Baltimore, MD

•July 2024 - Present

Software Developer

Marsh McLennan | Phoenix, AZ

•July 2021 - August 2022

Developed full-stack web applications, in the insurance sector, generating millions of revenue for customers such as Tesla, Amazon, Polestar, Liberty Mutual, and others
Identified and fixed security vulnerabilities for over 1,000 libraries on multiple live applications using Snyk
Implemented unit testing for code verification and validation, leveraging tools such as DataDog and SonarQube
Wrote Python scripts for Continuous Integration/Continuous Deployment (CI/CD) pipeline with Jenkins
Spearheaded a team initiative to implement modern web practices in agreement with Web Accessibility, to meet guidelines on 10 deployment applications and all future applications with WCAG 2.0 Standards
Added and reviewed pull requests with BitBucket using Git, accomplishing daily tasks assigned through Jira and preserve and maintain code standards
In charge of identifying and then fixing security vulnerabilities over 15 separate deployment applications

Research Intern

NAU SICCS Lab | Flagstaff, AZ

•January 2020 - December 2020

Designed and implemented conversational AI chatbots utilizing IBM Watson to study natural language processing (NLP) in customer service applications; collected conversation data to improve chatbot interaction
Conducted live and virtual studies of human-chatbot interaction to understand language usage and preference
Developed various Python scripts for data analysis, data automation and task automation
Implemented website powered by PHP, HTML, and JavaScript that hosted 2 chatbots for A/B testing. Chatbots interacted with by over 180 live study participants to research register usage and human-chatbot interaction

Teaching Assistant

NAU Computer Science Lab | Flagstaff, AZ

•August 2019 - December 2020

Administered lab material material in a lab-based classroom setting on a weekly basis for 3 separate computer science lab classes
Held a weekly office hours where students would ask questions pertaining to data structures, MATLAB, and Computer Science 2 questions
Deep understanding of Data Structures and Algorithms to grade and fully understand student projects

Peer Mentor

Peer Jacks Mentoring | Flagstaff, AZ

•April 2018 - May 2021

Held weekly meetings with 20 out of state freshmen computer science students helping them with all aspects of college life
Organized monthly events and worked as the main contact for scheduling, planning, and follow-through
Built and maintained the Peer Jacks website including adding features to the WordPress site using PHP and HTML, including updates every month
First senior mentor within the program's 10 year span, as well as becoming CRLA level 3 certified

Skills

Development Tools

Python

Java

TypeScript

Frameworks and Libraries

ROS

React JS

Tailwind CSS

Angular

Tools and Platforms

Docker

JIRA / Agile Methodology

Command Line / Scripting

Git

Life Skills

Leadership

Public Speaking

Technical Writing

Communication

Check out some of my work

Crimson Autonomous Kart

Creation of a fully autonomous go-kart for the Purdue Autonomous Kart Challenge. My work focused mainly on the creation of the LiDAR camera system, from capturing the data from the system to creating roadway and obstacle detection algorithms. Project is available upon request

Efficient Tester Project

Created a web application for faster COVID-19 tests that helped biologists using the sample pooling methodology. Users have the ability to join and create teams, create different tests and track their work digitally between testing cycles.

Chatbot Poster

Analysis of some of my work in studying what types of language users prefer when interacting with chatbots. Studied specifically human curated text vs AI tweaked responses to understand what linguistic characteristics are preferred by end users.

ML Wine Quality Predictor

Project for data science class that involved utilizing machine learning to predict the quality of wine. Takes in various inputs about the wine such as type, acidity, etc to analyze and predict quality. ML created using tpot, scikit-learn, and joblib.

Network Strength Project

Research paper where signals ability to propagate through various different building materials. Testing various networking protocols as well as different commonly used household building materials in an effort to study what materials may be better or limiting to wireless networking activity.

Operating System Simulator Project

Semester long project where we were tasked with designing and implementing an operating system. The project is written from the ground up in C using only the implemented string library. Project and design philosophy is available upon request

Survey of Machine Learning in Image Processing

An overview of the ways different machine learning algorithms are used in image processing, covering topics of OCR, Autonomous Vehicles, and Facial Recognition. High level coverage of different algorithms and there comparable performance as well as what is used in individual situations with challenges of each.

P vs NP

My work on tackling a few NP problems such as the Traveling Salesman Problem (TSP) and Max Clique problem. Both problems are 'unsolvable' so I've implemented a brute-force, commonly used heuristic algorithm, and my own generated algorithm which was used in a University competition involving solving these problems at scale quickly

Open Source Software

Final short paper I wrote about the pros and cons of utilizing OSS.