AI Software Engineering Intern Resume Elias Wilson AI Software Engineering Intern (608) 555-2746 elias.wilson@example.com linkedin.com/example/eliaswilson Madison, WI 53703 STRENGTHS AI evaluation Compared generated findings with prepared cases, then adjusted prompts when outputs missed software quality criteria. Collaborative delivery Used pull requests and shared checks with four teammates, creating a workflow peers could follow with confidence. Testing mindset Added tests for inputs, responses, APIs, and configuration. Repeated checks exposed edge cases worth documenting. Clear communication Presented architecture and limitations to classmates, turning technical results into a discussion people could use. Practical learning Connected PLC concepts with a working dashboard, then used peer feedback to clarify equipment events and alerts. SKILLS Python TypeScript React Node LLMs AI agents Prompt engineering Azure AI Services GitHub Copilot Microsoft Copilot Agile methodology Test driven development Test automation System design CI/CD LANGUAGES English Native 40 Spanish Intermediate 20 MY CAREER 1.2 Years AI Software Engineering Project Contributor at University Project (8 Months) Industrial Automation Software Project Contributor at Student Innovation Lab (3 Months) Cloud Native Software Delivery Project Contributor at Course Project (4 Months) SUMMARY Computer Science student preparing for AI software engineering work through supervised projects involving enterprise software, industrial automation, and engineering workflows. Built AI enabled prototypes with Python, LLM prompting, Azure AI Services , automated testing, and structured evaluation. Developed React and TypeScript interfaces, Node services, containerized Python applications, and Git based delivery workflows. Applied agile methodology, test driven development , system design, configuration management , code review, and CI/CD checks across team projects. Explored generative AI, AI agents, prompt engineering, GitHub Copilot, Microsoft Copilot, cloud native applications, PLC concepts, and manufacturing software. Expected to graduate in May 2028 and available for a full time summer 2027 internship. Brings curiosity, careful evaluation, and collaborative project habits that can support reliable AI software development. EDUCATION Bachelor's Degree in Computer Science University of Wisconsin Madison GPA: 0 2028 Madison, WI Coursework: Software design, artificial intelligence, agile methodology, automated testing TECHNICAL SKILLS Programming Languages: Python, TypeScript, JavaScript Web Frameworks: React, Angular, Node Artificial Intelligence: Generative AI, LLMs, AI agents Azure AI Services: Azure AI Services, Azure AI Fundamentals, Microsoft Copilot Development Assistants: GitHub Copilot, Microsoft Copilot, prompt engineering Source Control: Git, GitHub, pull requests Testing Tools: Automated testing, unit testing, integration testing Delivery Practices: CI/CD, build automation, release validation Software Methods: Agile methodology, test driven development, software life cycle Cloud Applications: Cloud native technologies, containerization, configuration management Industrial Software: Industrial automation, PLC concepts, manufacturing technology Engineering Design: System design, service integration, API testing SKILLS Python TypeScript React Node LLMs AI agents Prompt engineering Azure AI Services GitHub Copilot Microsoft Copilot Agile methodology Test driven development Test automation System design CI/CD EXPERIENCE AI Software Engineering Project Contributor University Project January 2026 - Present Madison, WI Supported a supervised university project focused on AI assisted code review for classroom applications. Contributed across design, implementation, testing, evaluation, documentation, and presentation within a four student team. Built Python code review prototype with LLM prompts and Azure AI Services for quality checks Created structured service responses that grouped findings into consistent categories for instructor evaluation Added automated tests for prompt inputs, response parsing, and service behavior across edge cases Managed Git pull requests and CI/CD checks within a reproducible four student team workflow Compared prototype findings with review cases and refined prompts after missed quality criteria Presented architecture, limitations, test results, and responsible use considerations to course audiences Industrial Automation Software Project Contributor Student Innovation Lab September 2025 - December 2025 Madison, WI Contributed to a supervised industrial automation lab project connecting a React and TypeScript dashboard with a Node service. Supported interface development, event handling, testing, documentation, agile planning, and faculty reviews. Developed React and TypeScript dashboard displaying simulated equipment states and alerts from PLC data Connected Node service that normalized simulated machine events for reliable dashboard display and testing Wrote unit and integration tests for event handling, status rendering, and service responses Documented system design , configuration steps, test cases, and known limitations for reproducibility Used agile planning to divide requirements into short increments reviewed with a faculty mentor Demonstrated prototype and captured peer feedback about usability, event clarity, and automation features Cloud Native Software Delivery Project Contributor Course Project January 2025 - May 2025 Madison, WI Built a supervised course project focused on repeatable cloud native delivery for a containerized Python service. Practiced configuration management , automated validation, documentation, and software development life cycle communication. Created containerized Python service supporting repeatable configuration for modern software delivery coursework Established Git workflow with automated build and test steps before proposed changes reached merge Used GitHub Copilot under instructor guidance while reviewing suggestions against course requirements Added automated API tests and configuration checks that caught invalid inputs and deployment errors Maintained build instructions, dependency documentation, and release notes for clean environment recreation Delivered demonstration explaining software life cycle, build pipeline, testing approach, and implementation tradeoffs PROJECTS AI Assisted Quality Review Prototype 2026 Created a supervised prototype using Python, LLM prompting, and Azure AI Services to examine software quality and security findings. Structured outputs, automated tests, evaluation cases, and responsible use discussion made results easier to review. PLC Equipment Monitoring Dashboard 2025 Built a React and TypeScript interface with a Node service for simulated industrial equipment events. Testing, documentation, and peer feedback shaped clearer status displays and practical automation ideas. LEADERSHIP & AWARDS Dean's List recognition, University of Wisconsin Madison, 2025 Undergraduate Project Showcase Honorable Mention, 2026 Peer Mentor, Computer Science Learning Center, 2026 to Present CERTIFICATIONS Microsoft Learn Azure AI Fundamentals Learning Path 2026 Coursera Generative AI for Software Development 2026 PROFESSIONAL AFFILIATIONS Student Software Builders Group member since 2025 Computer Science Learning Center peer mentor since 2026 LANGUAGES English (Native) Spanish (Intermediate) ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. REFERENCES AVAILABLE ON REQUEST
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