Louis Forster
Applied ML and systems work. Recent projects include graph-based retrieval for collaborative AI software and offline local-LLM tooling for Jetson devices.
Projects
Turns Excalidraw canvases into a queryable knowledge graph with semantic, relational, and spatial retrieval.
- - Built a canvas-to-graph ingestion pipeline for Excalidraw data so retrieval can use structure instead of flat text
- - Production deployment supporting concurrent collaborative sessions with 13M+ LLM tokens processed
TypeScript / React / Excalidraw / Node.js / Graph database / RAG
Offline local-LLM terminal app for Jetson and edge Linux with on-device models, agent tools, and explicit safety gates.
- - Published as the `open-jet` package for Jetson and edge Linux
- - Runs fully offline after local model setup via llama.cpp
Python / Textual / llama.cpp / GGUF quantization / LLMs / Nvidia Jetson
Experience
Visual Computing Research Intern
Bristol Vision Institute
Jun-Jul 2025
Fine-tuned RAFT/DPFlow optical flow models using Sintel dataset with synthetic noise. Implemented bidirectional warping and forward-backward consistency checks for adaptive occlusion masking into the main denoising model. Stabilised the self-supervised training pipeline, achieving 29.22 dB PSNR (+0.13), 0.863 SSIM (+0.010), and 0.334 LPIPS (-9.2%) on BVI-RLV, surpassing prior state-of-the-art
Teaching Assistant
University of Bristol
Sep 2023-Apr 2025
Teaching Assistant for up to 200 undergraduates across Linear Algebra, C, Discrete Mathematics, and Data Science
Software Engineer Intern
Scribblepad Press
Jul-Sep 2024
Managed web deployment and site optimisation. Increased organic traffic by 119%.
Contact: louisforster64@gmail.com