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Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLOAchievement: Quickdraw

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jimezsa/README.md

Hi, I’m David 👋

I'm currently pursuing my Master's in Computer Engineering 🤖, with a focus on Computer Vision, Deep Learning and building software projects for fun.

My background is in hardware/software system-level design, and previously developed high-precision laser projectors for augmented reality applications. devices used to support to construction of some of the most advanced machines in the world.

📍 Munich

Selfmotivated.

Experimenting a lot with Agentic Engineering and tools like Codex, Claude Code, Gemini CLI and Cursor.

Projects

  • 🐙 OpenColab - Accelerating scientific discovery - multi AI agent research lab
  • 📚 papercli - Scientific papers in your terminal
  • 🖼️ SuperResolutionSentinel_2 - Super-resolution workflows for low-resolution Sentinel-2 satellite imagery
  • 🤖 DeepAssemblyLines - 3D scene monitoring/reconstruction for industrial assembly applications
  • 🧑‍💻 jobcli - Jobs in your terminal
  • 🕷️ SpideryMesh - 3D scene from a single image using a Spidery Mesh
  • 🍺 homebrew-tap - Homebrew tap for distributing my CLI tools

Pinned Loading

  1. opencolab opencolab Public

    🐙 Accelerating Scientific Discovery — Turn one researcher into an autonomous research army that never sleeps

    TypeScript 11 1

  2. Super-Resolution-of-Sentinel-2-Low-Resolution Super-Resolution-of-Sentinel-2-Low-Resolution Public

    Implementation of "Sen2-RDSR" Sentinel-2 Residual Dense Super-Resolution in Pytorch

    Jupyter Notebook 9

  3. Deep_Assembly_Lines Deep_Assembly_Lines Public

    🛠️ 3D-Assembly-Vision: Real-time 3D monitoring for industrial assembly. Powered by YOLOv11, DOPE, VGGT and LSTM for synchronized 6D pose estimation and scene reconstruction.

    Jupyter Notebook 5 1

  4. papercli papercli Public

    CLI for searching academic papers across arXiv, Semantic Scholar, and Google Scholar (via SerpApi).

    Go

  5. Computer-Vision-Final-Project_sose2024 Computer-Vision-Final-Project_sose2024 Public

    Create a 3D scene from a single image using a Spidery Mesh

    MATLAB

  6. parameter-golf-exp parameter-golf-exp Public

    Train the smallest LM you can that fits in 16MB. Best model wins! Resources

    Python