Contributed to the AI Fjord project and the Norwegian AI Directory. Developed comprehensive fine-tuning guides and models, providing practical examples for Norwegian companies. Curated and catalogued AI offerings from Norwegian universities using advanced scripting and web scraping techniques.

On a senior design team, I led the implementation of an AI application with a focus on space technology, utilizing an FPGA board, specifically the VCK190. Our primary objective was to develop a model capable of classifying modulation schemes of various signals based on receiver data. Leveraging a HackRF device, we successfully transmitted randomly generated QPSK and BPSK signals for real-time classification and demodulation by the VCK190 board.Throughout the year-long project, our team achieved significant milestones, culminating in a final demonstration showcasing seamless workflow and signal transmission activated by a single button press. Notably, both the HackRF and FPGA board operated wirelessly, underscoring our commitment to innovative, untethered solutions in aerospace technology.

Demonstrated teaching and leadership skills by guiding and instructing an orientation course that empowered new students with the necessary tools and insights for their academic journey. Championed an inclusive and informative program for incoming freshmen, fostering a supportive environment for their successful transition to college life.

- Selected as one of only ten inaugural students for a full tuition leadership scholarship, honing technical expertise and cultivating future industry leaders.-Engaged in biweekly workshops with top CEOs and leaders including Kerry Siggins, Stephanie Tompkins, Jon Clifton, and Bhavna Chhabra for invaluable insights.-Developed emotional intelligence and leadership strengths through Clifton Strengths and Forn KerryAssessments alongside personalized professional coaching.

During my third year at Colorado School of Mines, I enrolled in SEED Lab (EENG 398) where I collaborated with a small team to develop an autonomous robot. Our design utilized a Raspberry Pi and Arduino, integrating computer vision and finely-tuned motor controllers through MATLAB. We programmed movement algorithms in Arduino's C language and implemented computer vision using Python with OpenCV. By leveraging I2C communication, we seamlessly integrated each component into a cohesive system. Our robot successfully navigated a course defined by randomly arranged ArUco markers, demonstrating our proficiency in robotics and interdisciplinary engineering skills.

Worked on BART Phase 2 Expansion systems engineering team. Spearheaded requirements analysis and implemented an INCOSE standards-based requirements database, enhancing project efficiency and organization. Developed a PDF to Excel conversion application, streamlining data acquisition and maximizing data usability. Created a custom AI tool using TensorFlow and OpenAI API to optimize discipline and object type allocation.

Performed QC on construction sites throughout the front range of Colorado. Testing and inspecting concrete, fireproofing, ground compaction, and lab work. Mainly worked on development of Denver International Airport including one of the runways and concourses B east, A west, C east, and Taxiway EE.