AI Automation Engineer Intern Resume Grayson Doyle AI Automation Engineer Intern (937) 555-XXXX grayson.doyle@example.com graysondoyle Dayton, OH 45402 STRENGTHS Analytical problem solving Reviewed simulated equipment readings and model errors to explain maintenance signals and quality classification limits to classmates. Practical automation Replaced repeated log checks with scripts in a course exercise, making the data review process repeatable for the project team. Team collaboration Worked with engineering, IT, and operations classmates to trace mock production events through a dashboard demonstration. Clear technical communication Presented a process map and documented setup steps so classmates could follow the workflow and reproduce the demonstration. Careful model evaluation Compared model outputs with held-out data and reviewed classification errors before recommending a student demonstration approach. SKILLS Python JavaScript C++ scikit-learn TensorFlow PyTorch Machine learning Predictive maintenance Quality control Process optimization Manufacturing data analysis AI automation Scripting APIs Data pipelines SUMMARY Computer Engineering student pursuing a bachelor’s degree at Wright State University, with academic experience building automation and machine learning prototypes for manufacturing workflows. Develop Python and JavaScript tools, data pipelines, and API connections to reduce repetitive analysis and make simulated production records easier to review. Apply machine learning to predictive maintenance and quality control , and connect model outputs with mock ERP and MES systems. Collaborate with engineering, IT, and operations classmates to test ideas, document system behavior, and present practical findings. Authorized to work in the United States without current or future sponsorship. EDUCATION Bachelor of Science in Computer Engineering, in progress Wright State University 2027 Dayton, OH TECHNICAL SKILLS Programming Languages: Python, JavaScript, C++ Machine Learning Frameworks: scikit-learn, TensorFlow, PyTorch Data Analysis Libraries: pandas, NumPy, SciPy Visualization Tools: Matplotlib, Seaborn, Plotly Database Systems: SQLite, PostgreSQL, MySQL API Technologies: REST, JSON, HTTP Development Environments: Jupyter, Visual Studio Code, PyCharm Version Control: Git, GitHub, GitLab Data Formats: CSV, XML, YAML Manufacturing Platforms: ERP, MES, OPC UA SKILLS Python JavaScript C++ scikit-learn TensorFlow PyTorch Machine learning Predictive maintenance Quality control Process optimization Manufacturing data analysis AI automation Scripting APIs Data pipelines EXPERIENCE AI Automation Engineer Intern, Academic Project University Project: Production Data Automation Lab Sep 2026 - Oct 2026 Dayton, OH Built a Python pipeline to review simulated manufacturing-system records and flag recurring manual inspection and reporting steps for automation, presenting findings in a concise engineering review. Connected a JavaScript dashboard prototype to an internal API and mock MES data, allowing engineering , IT, and operations classmates to trace sample production events without manual spreadsheet consolidation. Documented data assumptions, code setup, API behavior, and system architecture so teammates could reproduce the demonstration and assess its limitations. AI Automation Engineer Intern, Capstone Project Capstone Project: Predictive Maintenance and Quality Control Jan 2026 - Aug 2026 Dayton, OH Prepared and analyzed a labeled dataset of simulated equipment readings, then trained scikit-learn models to identify maintenance signals and summarize model limitations for an engineering audience. Compared a PyTorch prototype with a TensorFlow baseline for quality-control classification, using held-out data and error review to evaluate performance before recommending a student demonstration workflow. Developed scripts that automated data cleaning and repeatable model evaluation, reducing repetitive preparation during team experiments and supporting process-optimization discussions. Mapped a sample model-output workflow to mock ERP and MES records, documenting integration points, process steps, and a maintainable architecture for future testing. AI Automation Engineer Intern, Course Project Course Project: Manufacturing Workflow Scripting Oct 2025 - Dec 2025 Dayton, OH Wrote Python and C++ scripts to validate and organize synthetic production logs, replacing repeated manual checks in a course exercise with a repeatable workflow. Used basic API requests and scripting techniques to transfer sample data between a mock manufacturing execution system and a local analysis tool, then recorded setup and test results. Presented a process map and code documentation to classmates, applying analytical problem-solving to explain where automation could support engineering and operations work. LEADERSHIP, AWARDS & RECOGNITION Engineering Design Showcase, Capstone Team Presentation Recognition, Wright State University, 2026. Dean’s List, Wright State University, Fall 2025. Facilitated a peer study group for computer engineering coursework during 2025–2026. Volunteered at the College Engineering Open House in 2025. CERTIFICATIONS Machine Learning Specialization, Coursera 2025 Python for Everybody Specialization, Coursera 2024 PROFESSIONAL AFFILIATIONS Student member, Institute of Electrical and Electronics Engineers (IEEE), supporting continued engagement with computer engineering. Student member, Society of Manufacturing Engineers (SME), connecting academic interests with manufacturing engineering.
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