AI Flight Optimization Engineering Intern Resume Nikolai Kirby AI Flight Optimization Engineering Intern (918) 555-1234 nikolai.kirby@email.com linkedin.com/in/nikolaikirby Tulsa, OK 74105 STRENGTHS Collaboration Fostered collaborative environments among engineers, amplifying teamwork that led to impactful flight optimization solutions. Problem-Solving Demonstrated strong analytical skills by resolving technical challenges during AI prototype development, earning peer recognition. Adaptability Quickly adapted to rapidly changing project requirements, maintaining composure under pressure while ensuring successful outcomes. Innovative Thinking Produced original ideas that enhanced software processes, directly contributing to efficiency improvements in AI workflows. Technical Writing Articulated complex technical information clearly in documents, boosting understanding among diverse stakeholders involved in projects. SKILLS Python Machine Learning AI Development Data Analysis Git Agile Methodologies Telemetry Analysis Software Development Model Training Feature Engineering Predictive Algorithms Simulation Data Processing System Testing Automation Techniques Documentation Collaboration Skills LANGUAGES English Native 40 Spanish Intermediate 20 MY CAREER 9 Months AI Flight Optimization Intern at University Research Lab (6 Months) Machine Learning Project Developer at Student Innovation Lab (3 Months) SUMMARY Graduate student in Computer Science with substantial hands-on experience in artificial intelligence and machine learning applications for aerospace. Proven capability in Python programming and software development enhances ability to contribute effectively in innovative aerospace engineering contexts. Experience in telemetry analysis and flight optimization projects aligns well with organizational goals. Competent in developing and refining AI-driven solutions that boost efficiency, safety, and performance in aviation. Eager to collaborate with a talented team at Skydweller Technologies for meaningful contributions to advanced aerospace technologies. EDUCATION Master of Science in Computer Science University of Oklahoma GPA: 3.8 2026 Norman, OK Coursework: Algorithms, AI Applications, Software Development, Data Structures TECHNICAL SKILLS Programming Languages: Python Machine Learning Tools: TensorFlow, scikit-learn Version Control Systems: Git Agile Methodologies: Scrum, Kanban Database Management Systems: SQL, MongoDB Cloud Platforms: AWS, Azure Development Frameworks: Flask, Django Data Visualization Tools: Matplotlib, Seaborn Telemetry Analysis Tools: MATLAB, LabVIEW Testing Frameworks: pytest, unittest SKILLS Python Machine Learning AI Development Data Analysis Git Agile Methodologies Telemetry Analysis Software Development Model Training Feature Engineering Predictive Algorithms Simulation Data Processing System Testing Automation Techniques Documentation Collaboration Skills EXPERIENCE AI Flight Optimization Intern University Research Lab January 2026 - Present Tulsa, OK Support R&D initiatives at University Research Lab focusing on agentic AI for aerospace applications. Engage in software development activities while collaborating closely with industry experts to advance knowledge in the field. Collaborated with engineers to design an Agentic AI prototype for analyzing flight data, enhancing overall aircraft performance. Developed Python scripts for processing aerospace telemetry datasets, streamlining data analysis through efficient automation techniques. Participated in agile development sprints, contributing valuable insights during design reviews and team discussions, which shaped project goals. Documented workflows and system architecture, improving clarity and communication of methodologies for stakeholders. Assisted validation efforts ensuring AI recommendations met the necessary standards for safety and performance. Researched autonomous aircraft operations with a focus on optimizing energy efficiency and operational endurance. Machine Learning Project Developer Student Innovation Lab September 2025 - December 2025 Tulsa, OK Played an integral role in presenting machine learning innovations through classroom projects, showcasing predictive algorithms derived from simulation data processing. Designed and implemented machine learning algorithms that predicted outcomes accurately from complex simulation datasets. Conducted comprehensive data preparation and feature engineering that significantly improved input quality for AI models. Worked collaboratively with peers delivering project results at a university exhibition, receiving commendations for innovative problem-solving approaches. Utilized TensorFlow and scikit-learn for model creation, gaining hands-on experience with essential industry-standard tools. Presented findings and methodologies during academic seminars, stimulating discussion around the application of AI in aerospace. Maintained detailed documentation of the project’s progress, ensuring outcomes could be replicated for future academic inquiries. LEADERSHIP & AWARDS Dean's List, University of Oklahoma, Fall 2025 1st Place, University Hackathon, Spring 2025 CERTIFICATIONS Python for Data Science and AI 2026 Machine Learning Fundamentals 2026 PROFESSIONAL AFFILIATIONS Member, Aerospace Engineering Society, University of Oklahoma Volunteer, STEM Outreach Program, University of Oklahoma 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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