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I am a machine learning engineer who is passionate about solving real-world problems. I am currently working in E-commerce search using Python, FastAPI, Elasticsearch and Kubernetes etc.

In the past, I have been working on various vision-related projects, ranging from image retrieval, OCR, document image analysis and reconstruction, to video fingerprinting/deduplication.

I am also a FOSS lover and a Neovim enthusiast in particular, sharing tips and tricks on using Neovim. More info about me can be found on my website: https://jdhao.github.io/.

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Languages and tools

Python Lua Golang shell script Zsh git GCP Elasticsearch kubernetes OpenTelemetry Docker FastAPI uv Ruff Pyrefly Pydantic pytest Renovate pre-commit NeoVim Pandas PySpark sklearn PyTorch MySQL PostGres Flask Databricks Redis OpenCode GitHub Hugo Azure GitLab Jupyter Vim VS codium PyCharm Emacs Linux macOS Ghostty Wezterm Tmux Jira LaTeX

Projects

  • I am maintaining nvim-config -- A modern Neovim configuration with full battery for Python, C++, Markdown, LaTeX, and more...
  • Author of better-escape.vim -- a Vim/Neovim plugin that helps the users escape insert mode without lagging.
  • Author of whitespace.nvim -- A nvim plugin to show and trim trailing white spaces.
  • minimal_vim -- A minimal Vim/Nvim configuration in just one file without external dependencies.
  • deep firearm: Using a Siamese network with double margin contrastive loss for fine-grained gun image retrieval.

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