I'm a Developer based in Zurich, currently at ETH. My work sits at the intersection of complex systems simulation, machine learning, biology lab automation, and systems programming.

🚀 Status: Actively looking for a job! If your team is looking for a versatile engineer who can bridge the gap between high-level machine learning abstractions and robust systems engineering, let's connect!

• Machine Learning & AI: Experience working with deep neural networks and training models on multi GPU setups using distributed data parallelism.
• Data Pipeline & Orchestration: Skilled in data flow orchestration to build resilient, scalable pipelines for processing and model deployment.
• Computational Biology & Lab Automation: Developed tools for viral evolution simulation and robotic liquid handling control.
• Systems & Media Programming: Experience building abstractions in Rust and creating terminal user interfaces.
• Algorithms & Optimization: Implementing constraint-based optimization methods for efficient community searches.
• DevOps & Tooling: Experience using virtualization with Docker, managing services and building integrations with package managers like Nix.
• LLM Evaluation: I've extensively studied LLM inference with vLLM and evaluation with LLM-as-a-judge.

• misosoup: Minimal Supplying Community Search utilizing constraint-based optimization methods.
• pypetting: A tool to generate worklists programmatically for Tecan EVOware pipetting software.
• virolution: An agent-based simulation of viral evolution powered by a sparse haplotype representation.
• pyenv-nix-install: A Pyenv plugin bridging the gap between Python version management and the Nix package manager.
• radior: A cursive (TUI) frontend for mpv.

• Website: www.nicolasochsner.com
• LinkedIn: linkedin.com/in/nicolasochsner
• Location: Zurich, Switzerland

Ready to bring my computational background, ML experience, and software engineering skills to a new team.