M.Sc. Student in Electronic Systems Design, NTNU | Signal Processing & Machine Learning
Final-year master's student in Electronic Systems Design and Innovation at NTNU, Norway, specializing in signal processing and machine learning.
Core Competencies:
- Signal Processing & Machine Learning
- Embedded Systems & Real-Time Operating Systems
Technologies & Tools:
- Languages: Python, C++, C, Go, TypeScript, RISC-V Assembly, SPICE
- AI & Data Science Libraries: PyTorch, scikit-learn, LangChain
- Embedded: Zephyr, FreeRTOS
- Web Frameworks: Vue.js, React
- DevOps & Tools: Docker, Git
- Hardware & Simulation Software: Altium Designer, LTspice
- Automated Grading & Feedback Platform (tdt4102.idi.ntnu.no) - Co-developed a custom assignment delivery and evaluation platform on an NTNU server to automate workflows for the C++ Object-Oriented Programming course at NTNU.
- Wind Farm Power Production Forecasting - Developed and optimized machine learning methods to improve power production forecasts during a Machine Learning Engineer internship at Aneo.
- Satellite Electronics Design (Orbit NTNU) - Designed and developed electronic systems and circuit board prototypes for CubeSats (including components for the FramSat 1.5 satellite).
- AI Web Chatbot - Built a web-based conversational chatbot utilizing LangChain during a deployment cycle with Cogito NTNU.
- Embedded Software Intern (SonoFit): Working on embedded software development, modeling, and testing of ultrasound sensors and peripheral electronics.
LinkedIn: linkedin.com/in/tryggvekj