Machine Learning Engineer/AI Research

Keatum Powell

916-***-**** ******@*****.*** linkedin.com/in/keatum-powell-7a4b7025b/ github.com/keatum Education

Western Governors University Salt Lake City, UT

Master of Science in Computer Science: Machine Learning & Artificial Intelligence (In progress) 2025 – Present Western Governors University Salt Lake City, UT

Bachelor of Science in Cybersecurity and Information Assurance 2025 California State University of Sacramento Sacramento, CA Bachelor of Science in Computer Science (112/120 Units) 2022 Certifications

ITIL: IT Service Management

CompTIA: A+, Network+, Security+, CysA+, Project+

Linux Essentials (LE-1)

Microsoft Certified: Fabric Analytics Engineer Associate Experience

Information Technology Associate – Solutions Engineer Dates (e.g. July 2024 – March 2025) State of California Department of Toxic Substances Control West Sacramento, CA

• Led the development and integration of a DocAI GCP solution to digitize 2-3 million files, extract relevant data, and store the data in local databases.

• Collaborated cross-functionally with business programs, OEIM staff, vendors, and consultants to analyze, design, test, and implement robust software applications.

• Developed, coded, tested, debugged, implemented, and documented complex systems and applications, adhering to high-quality engineering standards.

• Designed database schemas and data flow diagrams to support high-quality software design and data-driven decision-making.

• Gave tailored presentations on AI to stakeholders from standard users to executives. Projects

LLM Security Agent Python, RAG, NumPy, Pandas, BeautifulSoup, FastAPI Role: Solo Developer

• Architected and developed an AI Agent to customer specification that allows a user to query an LLM for exploitation and remediation information, and the LLM will search through local exploitdb and CVE databases, as well as the online CVE and exploitdb webpages for well-sourced information. Enterprise AI WebUI Python, PyTorch, llama.cpp, Tensorflow, Tool Use Role: Solo Developer

• Architected and developed an extensible WebUI supporting enterprise-wide Large Language Model inference with on-the-fly model loading and prompt management.

Technical Skills

Languages: Python, C, C++, CUDA C, Java, JavaScript, TypeScript, SQL, HTML/CSS Frameworks & Libraries: NumPy, Pandas, Matplotlib, PyTorch, TensorFlow, Flask, FastAPI, React, Angular Node.js, Docker, Kubernetes, WordPress, JUnit, Material-UI, llama.cpp DevOps & Tools: Git, Jira, CI/CD, Docker, Kubernetes, GPU Computing, Ollama, VS Code, Visual Studio, PyCharm, IntelliJ, Eclipse, GCP, Azure

Cloud & Infrastructure: Google Cloud Platform, Microsoft Azure, Oracle Cloud Infrastructure, On-prem Servers, Virtual Machines

Data & AI: Machine Learning, Deep Learning, Generative AI, Large Language Models, Retrieval-Augmented Generation (RAG), LLM Fine-Tuning, LLM Quantization, Data Analysis, Data Visualization, Data Engineering, NLP, Computer Vision, OCR, Cloud AI

Security & Compliance: Cybersecurity, Information Assurance, ITIL, Software Security Best Practices Methodologies: Agile (Scrum), DevOps, Test-Driven Development (TDD), Software Engineering, Software Design, SDLC, Project Management, Requirements Prioritization Soft Skills: Communication, Collaboration, Teamwork, Presentation, Public Speaking, Problem-Solving, Self-Motivation, Strategic Thinking, Forward Thinking

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