Team
The people building ModelForgeLab
We are a small distributed team of ML engineers, infrastructure specialists, and open-source contributors. Most of us came from research backgrounds and got tired of reinventing weight distribution pipelines on every new project.
Co-founder · Infrastructure
Distributed systems background. Built the artifact storage layer and the streaming download pipeline. Previously at a CDN startup.
Co-founder · ML Platform
Fine-tuning infrastructure and the LoRA training queue. Research background in low-rank adaptation methods. Contributed to PEFT before joining full-time.
Backend Engineering
API design, rate limiting, and the auth service. Former SRE who switched to product engineering. Maintains the self-hosted deployment tooling.
ML Engineering
GGUF quantisation pipeline and format conversion tooling. Contributed the Ollama and llama.cpp compatibility layer to the adapter registry.
Frontend & Design
Registry UI, playground, and the CLI design system. Previously built developer tooling at a documentation startup.
Open positions
We are looking for ML infrastructure engineers and open-source contributors. Write to support@modelforgelab.cloud.
Open source
The registry server, CLI, and Python SDK are open source under the Apache 2.0 licence. Contributions, bug reports, and pull requests are welcome on GitHub.