10/20/2026 updated

DW
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Senior AI Engineer & Founder | Agent Orchestration | LLM Systems | Production ML

Alkmaar, Netherlands
Only remote
MSc Artificial Intelligence, Vrije Universiteit Amsterdam
Alkmaar, Netherlands
Only remote
MSc Artificial Intelligence, Vrije Universiteit Amsterdam

Profile attachments

CV_Damion_Woods_2026-10.pdf

Agent Orchestration & Multi-Agent Workflows
Expertise in orchestrating AI agents by splitting work into tasks, running coding and research agents in parallel, and verifying results before shipping. Building coordinator agents that manage kanban boards, git branches, worktrees, and written done-criteria checks before merging.

LLM Systems & Generative AI
Deep knowledge of LLM and agent systems including prompt engineering, structured output, training and finetuning, FastAPI, Claude and GPT. Proficiency with ComfyUI, diffusion models (Stable Diffusion, FLUX, SDXL), custom workflow design, finetuning, LoRA and ControlNet, prompting at production scale.

Production ML & Backend Engineering
Ownership of production backend servers, image and video generation pipelines generating 5-figure monthly revenue, model and LoRA training, dataset creation and captioning, artifact checking and image rebalancing across 2.4 million images a month. Backends and APIs built with Python, TypeScript, and related frameworks.

Frontend & App Development
TypeScript, Svelte, Vite, HTML/CSS, Phaser, desktop and mobile builds with Tauri and Capacitor, Playwright and Vitest for testing. Shipped the Recall Rogue client and site, phronesia.net and the YouTube AI Assistant.

Cloud & Server Infrastructure
AWS (incl. Bedrock) and GCP, EC2, load balancing, Docker, CI/CD, Kubernetes, and a decade of Linux administration. Self-hosted infrastructure including a 72TB UnRaid and Docker stack running since 2018.

AI, ML & Data Science
PyTorch, Keras, TensorFlow, CNNs, NLP, transformers, recommender systems, reinforcement learning, scikit-learn, statistics, PySpark, NumPy, Pandas.

Game Development
Building roguelite and roguelike games using TypeScript, Svelte, Phaser, and Godot with C#. Shipped Recall Rogue on Steam with 98 card mechanics, 89 enemies, 90 relics, 20 ascension levels, and over 68,000 curated facts across 100+ decks.

DevOps & CI/CD
DevOps and CI/CD experience of 5+ years since November 2020, Docker self-hosted since 2018, Linux servers administration for 10 years, AWS/GCP for 3 years, and production servers at Intelligents and Nova 23.

Microsoft Dynamics & Power Platform
MS Dynamics development and Microsoft Power Platform, working directly with Microsoft teams in Seattle on early versions of their AI products, within a six-person SCRUM team.

Research & Publications
Research paper on AI distillation (Direct Self-Distillation for Diffusion Models, ICLR 2024 submission) written at the Vrije Universiteit, and a published paper on resting-state EEG in migraine research from work at Leiden University Medical Center.

Experience

Professional experience5 - 10 years
Freelancer since2026

Languages

EnglishNative speakerDutchNative speaker

Project history

Founder - AI consultancy and games

Phronesia
Own company for independent AI and software work including LLM and agent systems, backends, generation pipelines, and tooling. Phronesia owns the games built under this entity. Running a coordinator agent that splits goals into tasks on a kanban board with worker agents, shared library of 40+ agent skills reused across game repos, and a literary translation pipeline (Glosswright).

Indie Game Developer - Recall Rogue (Steam), GravityCollapse, Pixel Palace

Games (Bramblegate Games)
Built Recall Rogue, a roguelite deckbuilder on Steam with 98 card mechanics, 89 enemies, 90 relics, 20 ascension levels, the art pipeline, the site and the Steam page using TypeScript, Svelte and Phaser. Over 68,000 curated facts across 100+ decks. GravityCollapse (roguelite autobattler in Godot with C#) and Pixel Palace (portrait pixel-art mobile game in Godot 4) in development, both built with agent teams.

Senior AI Developer

Intelligents
Senior AI Developer role following promotion. Continued ownership of production backend and image/video generation pipelines, internal tooling, and cross-functional translation between management, engineering, and QA.

Artificial Intelligence Engineer

Intelligents
Main AI engineer at Intelligents. Owned the production backend servers and middleware, built and ran image and video generation pipelines bringing in 5-figure monthly revenue, model and LoRA training, dataset creation and captioning across 2.4 million images a month, put distillation research into production, and built internal tooling for prompt generation, finance and cost dashboards, and internal sites.

AI Developer / Project Manager

Nova 23 (NDA, healthcare)
Built an entire AI healthcare suite solo with 80+ modules, fully offline. Covered conversational diagnosis, LLM fine-tuning, SQL with full user management and security, websocket APIs, migration to GCP and AWS, first digitised ICD/DSM manual library, generated diagnostic reports, offline speech to text, eye tracking with pupil statistics, logging and analytics.

Teaching Assistant - Knowledge Representation (XM_0059) and Quantified Machine Learning (XM_40012)

Vrije Universiteit Amsterdam
Graded assignments and ran own workshops for groups of 40 to 60 AI master's students across two courses.

AI & Dynamics Developer

OfficeGrip B.V.
Started on inbound phones, moved to MS Dynamics developer within months, then to AI developer. Part of a six-person SCRUM team working directly with Microsoft Power Platform people in Seattle on early versions of their AI products. Learned CI/CD and DevOps here.

Internship - Department of Neurology

Leiden University Medical Center
Researched whether resting-state EEG can predict migraines with a small team of post-docs. The work opened up the department's research line into EEG measured at home.

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