Maximilian Goisser
CTO & Co-Founder at Self-Employed
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolMaximilian Goisser is a product-focused full-stack engineer and CTO with 12 years of experience building developer tooling, semantic data platforms, and AI-enabled products from prototype to production. As a serial founder and technical lead (Autumn AI, Rlay, Field 33, now Erato Labs) he has driven architecture, hiring, and core engineering decisions—authoring a scientific paper on a package manager for ontologies and building a GraphQL-like semantic query engine. His work spans knowledge graphs, semantic query planning (Oxolotl/Substrait), package management for ontologies, and machine learning infrastructure, with notable open-source contributions to the Rust-based Leaf ML framework. Based in Berlin, he blends hands-on backend and systems engineering with product instincts and occasional hackathon-driven prototyping. Unusually for an engineering leader, he began in biochemistry and keeps an active interest in life-science intersections, often contributing to open-source Rust developer tooling in his spare time.
12 years of coding experience
6 years of employment as a software developer
Biochemistry, Biochemistry at Freie Universität Berlin
German, English
Github Skills (6)
deserialization10
serializable10
rust10
serializer10
backpropagation10
serialization10
Programming languages (29)
Github contributions (5)
autumnai/leaf
Oct 2015 - Jan 2018
Open Machine Intelligence Framework for Hackers. (GPU/CPU)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:63 commits, 36 PRs, 98 pushes in 2 years 3 months
Contributions summary:Maximilian made progress on initializing the network, including adding functionality to append bottom blobs and parameters, and implementing core backpropagation logic. The user's primary focus was on implementing core network architecture, including functions for forward and backward passes. They also introduced serialization methods for saving and loading the network. The code changes suggest the user worked primarily on the underlying architecture and implementation of the machine learning framework.
cpugpudeep-learningmachine-learninghackers
autumnai/collenchyma
Nov 2015 - Mar 2016
Contributions:40 commits, 14 PRs, 60 pushes in 3 months
cudacpugpuextendablehpc
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