Skip to content
View tristanmanchester's full-sized avatar
10 followers · 8 following

Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Block or report tristanmanchester

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
tristanmanchester/README.md

Tristan Manchester

I’m a Software Engineer and Data Scientist based in Munich. I build tools that bridge the gap between complex technical domains and production-ready software.

I have a PhD-shaped background in physics and materials science. I spent 2 years at the UK’s national synchrotron (Diamond Light Source) building instrumentation and deep-learning solutions for scientific imaging.

Now, I focus on building high-fidelity web applications, AI-driven workflows, and data-heavy systems.

Some apps I built

Gravity Notes

My most successful (and simplest) app, a notes app built around Andrej Karpathy's note-taking technique. People seem to particularly like that there's no subscription, and no AI.

  • Built with: React Native Expo, TypeScript, Swift

BrainFlow

My least successful (and most complex) app, an AI voice-notes app which is the antithesis of Gravity. People seem to particularly like not using it.

  • Built with: React Native Expo, TypeScript, Railway

Engineering & Data Science

I like building things that are technically rigorous but simple to use.

  • Full-Stack Development: Next.js / React (Native) / TypeScript ecosystem. I build clean frontends and scalable backends (Node, Convex, PostgreSQL).
  • AI & Automation: Implementing agentic workflows, LLM integrations, and practical AI tools that solve business problems (OpenRouter, OpenClaw, Vercel AI Gateway).
  • Scientific Computing: Python (JAX, PyTorch, NumPy) for complex simulations, 3D reconstruction, and high-performance imaging analysis.

Research Background

Before moving into commercial software, I developed novel software tools for synchrotron X-ray imaging.

ML Segmentation Deep Learning Segmentation JAX CT Projector

Iterative Alignment and Reconstruction with Quasi-Newton Gradient Descent

📩 Get in Touch

I'm currently taking on freelance contracts in Munich (and remote). If you have a complex project or bespoke software needs, let's talk.

Based in Munich, Germany 🇩🇪

Pinned Loading

  1. ScrambledSeg ScrambledSeg Public

    SegFormer deep learning pipeline for synchrotron tomography segmentation.

    Python

  2. data_worsener data_worsener Public

    Makes nice lab-based μXCT data look like not nice synchrotron μXCT data for training a segmentation neural net.

    Python

  3. ParticleSegmentation ParticleSegmentation Public

    Particle segmentation from a 3D dataset, using k-means clustering and watershed segmentation.

    Python

  4. pylomap pylomap Public

    Visualisation tool for QIIME2 Data.

    Python

  5. some_nice_python_art some_nice_python_art Public

    Python

  6. tomojax tomojax Public

    Python 1