Jorgen Bergh
ML engineer and student at NTNU and UC Berkeley, building systems where machine learning meets real-world constraints.
Trondheim / Oslo / Berkeley
I study Industrial Economics and Technology Management at NTNU, specialising in Computer Science with a focus on AI and ML. In 2025–26 I spent a year as a visiting student at UC Berkeley, where I took courses in machine learning, economics and financial engineering.
My work spans industries with high stakes and hard constraints — particle physics trigger systems at CERN, real-time monitoring across Norway's hydropower grid, and sustainable AI for e-commerce. As part of COMPSCI 294 at Berkeley, I co-authored a preprint on carbon-aware recommendation re-ranking that was published on arXiv.
Outside of work I enjoy staying active through weight training, endurance training, and basketball. I competed in both athletics and basketball through upper secondary school.
ML Intern
- —FPGA implementation of a VAE encoder for the ATLAS trigger using hls4ml and quantization-aware training (HGQ2), meeting strict latency and on-chip resource budgets.
- —Chose this position over an offer from Rystad Energy as an Analysis/AI Intern.
Jun–Aug 2026
Geneva, Switzerland
AI/ML Intern
- —Built PyTorch models for digital monitoring and anomaly detection across 82 hydropower plants.
- —Applied language models and computer vision to enhance decision support in hydropower operations.
Jun–Aug 2025
Drammen, Norway
Project Lead → Data Scientist
- —Led market forecasting for the sonar industry by analyzing ~5,000 scraped news articles with LLM-based sentiment.
- —Built anomaly detection model on energy time series from ~200 buildings with five years of hourly readings.
Jan 2024–Aug 2025
Trondheim, Norway
His Majesty the King's Guard
Second-in-Command
- —Responsible for overseeing up to 30 soldiers during active duty and military training.
Oct 2022–Sep 2023
Oslo, Norway
NTNU — Norwegian University of Science and Technology
M.Sc. Industrial Economics and Technology Management
Computer Science (AI/ML) + Economics/Finance. GPA: 4.4/5.0
University of California, Berkeley
Visiting Student
GPA: 3.97/4.0
Fall 2025
- COMPSCI 188 — Introduction to Artificial Intelligence
- DATA C100 — Principles & Techniques of Data Science
- INDENG 221 — Introduction to Financial Engineering
- UGBA 101A — Microeconomic Analysis for Business Decisions
- BUSADM 460.1 — Marketing Management
- INDENG 198 — Introduction to Quantitative Finance
- SOCIOL 198 — Directed Group Study for Undergraduates
Spring 2026
- COMPSCI 189 — Introduction to Machine Learning
- COMPSCI 288 — Advanced Natural Language Processing
- COMPSCI 294 — Designing Algorithmic Media (A+) — course project published as arXiv:2606.04550
- ECON 141 — Econometrics (Quantitative) (A+, best final exam score)
- ENGIN 183E — Technology Entrepreneurship
Course project for COMPSCI 294 (Designing Algorithmic Media) at UC Berkeley, which became a co-authored arXiv preprint. Explores trading user engagement for sustainability in e-commerce recommendation systems.
ATLAS Trigger VAE — CERN Openlab
FPGA implementation of a variational autoencoder for real-time particle physics event selection using hls4ml.
Hydropower Anomaly Detection — Å Energy
PyTorch models for digital monitoring of 82 hydropower plants using time series and computer vision.
1st place (best use of Railtracks). Multimodal AI application built at the Railtracks Hackathon with Noah.
- 1stDigitalOcean Hackathon
- 1stRailtracks Multimodal Hackathon
- Best modelRystad Energy Case Competition
- 2ndTzafon Hackathon
- 5th (U23 team)Norwegian AI Championship
Occasional posts on machine learning, things I'm learning, and whatever else I find worth writing about.
Read the blog →Training and health have been a core part of my life for as long as I can remember. I stay active through weight training, endurance work, and basketball — and I track my progress with regular benchmark tests.
Outside of training I'm into poker, philosophy, dog training, and small game hunting. I've also been part of Poker@Berkeley (Berkeley's poker club), NTNUI Basketball, and NTNUI Volleyball.
Technical
Python, PyTorch, TensorFlow, SkLearn, Pandas, C++, Java, SQL, KQL, Azure, HLS, Linux
Languages
Norwegian (native) · English (fluent) · Spanish (conversational)