I'm an AI Systems Engineer and ML Engineer pursuing an M.Sc. Informatics, AI at NTNU (exchange at UC Berkeley, Aug 2025 – May 2026), heading into my final year. I build production-grade AI systems, multi-agent pipelines, and scalable backend infrastructure.

Noah Lund Syrdal

Currently

  • Pursuing an M.Sc. Informatics, AI at NTNU, with an exchange at UC Berkeley (Aug 2025 – May 2026) — heading into my final year.
  • Building a Linux runtime image specialized for AI agents
  • Head of Technology at ReLU NTNU
  • Build, iterate, repeat.

Experience

AI/Software Engineering Intern

Spacial AI · Palo Alto, CA

2025

IT Consultant Intern

Bouvet · Oslo, Norway

2025

Learning Assistant

NTNU · Trondheim, Norway

Jan–May 2025

Education

Noah and friends at UC Berkeley

UC Berkeley

Aug 2025 – May 2026

Exchange Year · GPA 3.81/4.0

NTNU

2022 – Present

M.Sc. Informatics, AI · B.Sc. Informatics (GPA 4.2/5.0)

Awards

CogniView team receiving Best Use of Railtracks award

Best Use of Railtracks Multimodal Frontier Hackathon, San Francisco (project repo)

DigitalOcean Hackathon

1st Place DigitalOcean Hackathon, San Francisco

Future of Labor Hackathon

2nd Place Future of Labor Hackathon, San Francisco

Leadership

Noah Syrdal and Henrik Bø presenting Evaluation-Driven Development at Telenor AI & Breakfast

Head of Technology — ReLU NTNU

Norway's leading AI student organization. Driving tech choices for projects and keeping the organization at the forefront of AI/ML.

Co-presented Evaluation-Driven Development (EDD) with former ReLU leader Henrik Raaen Bø at Telenor AI & Breakfast (400+ audience, including key management). Talked about how ReLU evaluates AI systems against clear, measurable criteria throughout development instead of relying on intuition or demos. LinkedIn →

2026 – Present
Datakameratene FK team
Noah with league trophy

Club Leader — Datakameratene FK

Led the club to a league championship. Finance, sports administration, and team operations.

2023 – 2025

Projects

view all →

Rabbit Hole

Solo — deep research agent with a live knowledge graph, layered investigation, and exportable reports. HackwithBay 2.0 (Deep Agents / RSAC 2026), top 20 teams at the AWS Builders Loft finale.

AgentsNext.jsFastAPI

PR Copilot AI

Got tired of PR review tools that need account sign-ups and complex setup. Drop-in GitHub Action with LLM-powered inline review comments — severity, category, confidence, and suggested fixes. Published on the GitHub Marketplace.

PythonLLMsGitHub Actions

Carbon-Aware Recommender System

arXiv preprint on carbon-aware re-ranking with inferred product footprints and tunable engagement–carbon trade-offs across BPR, NeuMF, and LightGCN.

PythonMLRecSys

Skills

AI/ML: LLMs, RAG, agentic systems, NLP, recommender systems, RL (MuZero, MCTS)

Backend & Systems: Python, distributed systems, APIs, caching, observability

Cloud: AWS (Lambda, API Gateway, S3, Bedrock), Docker, GCP

Languages: Python, TypeScript, Java, SQL