Open to opportunities

David Martin

@davidmartin3

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AI and computer science specialist building practical ML solutions and production-ready Python systems.

United States

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What I'm looking for

I seek hands-on ML or software roles where I can build production-ready models and systems, work on end-to-end pipelines, and grow through impactful, team-driven projects.

I am an AI and computer science specialist with hands-on experience building machine learning models, developing software, and delivering data-driven solutions. I have a strong foundation in algorithms, Python development, ML experimentation, and practical problem solving, demonstrated through internships and applied projects.

My work includes developing predictive models, a CNN-based facial recognition system, and backend workflows for real-time alerts; at Intel and an ASU research lab I optimized preprocessing pipelines, contributed to API/back-end improvements, and supported ML research and production prototypes.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Intel Corporation

Jan 2023 - Jan 2024 (1 year)

Assisted in developing ML model evaluation pipelines and optimized data preprocessing workflows to improve experiment throughput; supported internal research tasks across teams.

Python Machine Learning TensorFlow data preprocessing Model Evaluation SQL Experimentation Git

Software Developer Intern

Arizona State University Research Lab

Jan 2022 - Jan 2023 (1 year)

Developed automation scripts, contributed backend API improvements, and implemented ML-powered research prototypes to accelerate lab project delivery.

Python APIs Flask SQL Automation Machine Learning Backend Development Git

Education

Degrees, certifications, and relevant coursework

Phoenix College

Associate of Science, Computer Science

2020 - 2024

Activities and societies: Machine learning and software projects including predictive student performance model, facial recognition system, and backend prototype for SMS flight alerts.

Completed coursework in computer science with practical projects in machine learning, software development, and data-driven solutions.