Engineering Intern - Generative AI Solutions Resume Andres Ho Engineering Intern - Generative AI Solutions (503) 555-1234 andres.ho@example.com linkedin.com/in/andres-ho Portland, OR 97205 STRENGTHS Collaboration Championed teamwork by engaging diverse groups on AI-focused projects, creating synergy and shared success Problem-Solving Expertly navigated complex AI challenges, prompting innovative solutions validated through rigorous testing Technical Writing Developed comprehensive documentation that demystified complex projects, facilitating broader understanding amongst stakeholders Adaptability Thrived under pressure during hackathons, consistently re-defining objectives and achieving notable outcomes in limited timeframes Mentorship Proactively engaged in peer mentoring situations, enabling others' growth while solidifying own knowledge base across topics SKILLS Generative AI Data Structures & Algorithms Machine Learning Python RAG LLMs Cloud Computing API Integration Technical Documentation System Design Communication Skills Problem Solving Team Collaboration Workflow Optimization Project Management Experimentation LANGUAGES English Native 40 Spanish Proficient 30 MY CAREER 9 Months Generative AI Developer at University Project (6 Months) Machine Learning Research Assistant at Academic Research (3 Months) SUMMARY Aspiring Computer Science professional dedicated to developing impactful AI solutions. Currently pursuing a degree while actively engaging in academic projects focusing on Generative AI methodologies, including Retrieval-Augmented Generation and Large Language Models. Strong comprehension of data structures, algorithms, system design, and effective user collaboration, leading to successful project outcomes. Committed to honing technical documentation skills and integrating AI capabilities into meaningful applications. Passionate about financial technology and skilled at presenting complex concepts clearly, motivated by opportunities to learn from industry experts within dynamic teams. EDUCATION Bachelor's Degree in Computer Science Portland State University GPA: 3.8 2026 Portland, OR Coursework: Generative AI, Machine Learning, Data Structures, Algorithms TECHNICAL SKILLS AI Frameworks: TensorFlow, PyTorch, Scikit-learn Cloud Technologies: Amazon Web Services, Google Cloud Platform, Microsoft Azure Programming Languages: Python, JavaScript, R Version Control Systems: Git, GitHub, Bitbucket Database Systems: MySQL, MongoDB, PostgreSQL Documentation Tools: Markdown, LaTeX, Confluence Agile Methodologies: Scrum, Kanban, Lean CI/CD Tools: Jenkins, CircleCI, Travis CI Testing Frameworks: JUnit, Pytest, Mocha Deployment Platforms: Docker, Kubernetes, Heroku SKILLS Generative AI Data Structures & Algorithms Machine Learning Python RAG LLMs Cloud Computing API Integration Technical Documentation System Design Communication Skills Problem Solving Team Collaboration Workflow Optimization Project Management Experimentation EXPERIENCE Generative AI Developer University Project January 2026 - Present Portland, OR Focused on building efficient AI-driven solutions for financial modeling using advanced generative methods. Directed a team environment with strong emphasis on document quality and detailed presentation skills. Developed prototypes employing Retrieval-Augmented Generation (RAG) techniques tailored for financial models. Worked collaboratively with peers on enhancing user experience and functionality through integrated AI elements. Crafted optimized algorithms and data structures resulting in significantly improved application efficiency. Produced thorough documentation and workflow diagrams clarifying project processes and results. Presented detailed findings, garnering positive feedback concerning methodology and clarity from faculty reviewers. Engaged in mentorship with experts, gathering insights into the practical applications of Generative AI. Machine Learning Research Assistant Academic Research September 2025 - December 2025 Portland, OR Collaborated on research transforming agentic workflows into real-world applications, utilizing modern frameworks to enhance model performance. Contributed innovatively to boost accessibility and scalability of AI outputs. Supported research clusters focused on agentic AI workflows, resulting in prototype advancements for automated processes. Conducted intensive experiments enhancing data analysis aimed at improving model precision. Collaborated within a team asserting documentation standards and preparing for academic presentations. Utilized cloud technologies for AI model deployment, heightening accessibility for collaborative research initiatives. Developed a portfolio showcasing significant research contributions and innovative AI developments. Participated in rigorous code reviews ensuring high-quality benchmarks for deliverables. AI Solutions Team Member Hackathon Project March 2025 Portland, OR Actively contributed in fast-paced hackathon setting, bringing innovative ideas to life within tight deadlines. Fostered teamwork dynamics combining creativity and efficiency to achieve technical excellence. Teamed up to create an application utilizing LLMs designed specifically for financial analytics. Implemented streamlined data processing techniques that greatly improved operational efficacy. Sketches user interface enhancements encouraging elevated engagement and satisfaction among users. Cataloged development phases ensuring replicable methodologies for similar future engagements. Showcased project model effectively during judging, earning commendations for unique technological integrations. Motivated discussions revolving around optimization strategies based on collective user testing experiences. LEADERSHIP & AWARDS Dean's List, Portland State University (2025) Winner, University Hackathon (2025) CERTIFICATIONS Google AI Fundamentals 2026 AWS Cloud Practitioner 2026 PROFESSIONAL AFFILIATIONS Member, Computer Science Club (2024 – Present) Peer Mentor, Undergraduate Tutoring Program (2025 – Present) LANGUAGES English (Native) Spanish (Proficient) 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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