Elijah Adams

About Me

Hello, I'm Elijah, an AI/ML Computer Scientist and software engineer who loves turning complex challenges into innovative solutions. With experience in defense technologies, AI/ML systems, and full-stack web development, I’ve had the opportunity to work on both classified and unclassified projects that push the limits of technology.

At ZelTech, I focus on developing advanced AI/ML models and full-stack web applications. Using frameworks like TensorFlow, PyTorch, and Scikit-learn, I work on a wide range of projects, from computer vision and natural language processing to building scalable, user-friendly web solutions. Before this, I was at Northrop Grumman, where I helped develop safety-critical software and integrate it with hardware for defense applications. I also have experience building scalable systems using Docker, Kubernetes, AWS, and Red Hat OpenShift.

I'm currently pursuing a Master’s in Machine Learning at Georgia Tech, where I’m diving into areas like machine learning, reinforcement learning, and deep learning. Prior to this, I earned a Bachelor’s degree in Computer Science and Mathematics from Ohio Wesleyan University.

When I’m not working on technical stuff, I’m spending time on my hobbies: technology 💻, investing 💰, weightlifting 🏋️‍♂️, making music 🎶, and going on adventures! 🌍

Experience

AI Scientist

Zel Technologies LLC

2024 – Present

Cape Canaveral, FL

• Expertise in AI, ML, neural networks, and deep learning with TensorFlow, PyTorch, Scikit-learn, Keras, and Theano.
• Skilled in computer vision and NLP algorithms, with experience in OpenCV, TensorFlow-CV, NLTK, Spacy, and PyTorch-NLP.
• Extensive experience in DevSecOps, Docker, Kubernetes, Red Hat OpenShift, AWS, and databases (PostgreSQL, NoSQL, SQL).
• Strong in data preparation, pre-processing, QA/QC, GitLab, Jenkins, and software development in classified environments.
• Proficient in Linux, shell scripting, and programming in JavaScript, Node.js, TypeScript, Python, Java, C/C++. Strong web development skills using HTML, CSS, React, and Angular.

Associate Software Engineer

Northrop Grumman Corporation

2023 – 2024

Melbourne, FL

• Development experience in C/C++, Python, and other OOP languages in Linux and Windows environments.
• Proficient in Agile methodologies (Scrum/Kanban), CI/CD pipelines, and DevOps tools (Bamboo, Jenkins, GitLab).
• Experienced with version control (Git, Bitbucket), UML modeling, and systems engineering tools like Rhapsody.
• Skilled in debugging, rigorous testing, and embedded systems development.
• Strong in configuration management, technical documentation (Confluence, Jira), and hardware-software integration.

Software Engineer Intern

Custom Rubber Corporation

2022 – 2022

Cleveland, OH

• Experience in database migration, relational database architecture, and ERP customization (Infor SyteLine, Mongoose).
• Proficient in IoT data pipelines, factory analytics, and workflow automation with advanced scripting.
• Skilled in Agile tools (Kanban, Microsoft Teams) and enterprise system modernization.
• Experienced in form/report creation, process optimization, and ERP documentation.
• Strong in analytical thinking, problem-solving, and mastering emerging tech.

Education

Master of Science

Computer Science, Machine Learning

Georgia Institute of Technology

Courses: Operating Systems, Machine Learning, Reinforcement Learning, Machine Learning for Trading, AI Ethics, Deep Learning, Game AI, and Data & Visual Analytics.

2024 – 2025

Bachelor of Arts

Computer Science and Mathematics

Ohio Wesleyan University

Activities and societies: Phi Gamma Delta, Chess Club, Ultimate Frisbee, and Intramural Soccer.

2019 – 2023

Projects

Exploring Reinforcement Learning for MDPs

Research paper comparing the performance of Policy Iteration, Value Iteration, Q-Learning, and SARSA in traffic flow and robot navigation Markov Decision Processes.

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