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SerialDev (Andres Mariscal) · GitHub

• Pricing

Machine learning engineer. Worked in infosec, Computer Vision, NLP. Super into Compiler & game engines.. LLMs and, AUDIO foundation models!

• Helsinki, Finland
• datasloth.io
• X @serialdev

🦦At work, I have/still mainly focused on:

• Machine Learning at scale, anomaly detection and, its application to security .
• Approximate algorithms to deal with data at scale
• Vector DBs
• information retrieval problems related to computer vision retrieval systems at scale & similarity retrieval systems
• Cheat detection and development
• Prediction, Forecasting, and detection problems at scale
• LLMs Updates pending

🦥 I am open:

• Collaboration opportunities (anytime & anywhere)
• Anything interesting you wanna reach out about
• Cool hardware projects!
• Music production collabs (includes VST development)
• An informal chat 🍻🍶☕

🐣 Increasingly interested in:

• Graph Neural Networks
• Columnar, full text, vector & graph database internals
• Optimising compilers

🐣 still interested in:

• Tooling
• Editors & DSLs
• Emulators
• Multi-lingual NLP |LLMs

🐌 Contact me by:

• Email (andres.datasloth [AT] gmail.com)
• Twitter

1. Opinionated Emacs for the multi-OS usecase

   Emacs Lisp 9 5

2. nim repl support for emacs

   Emacs Lisp 22 2

3. Minor Mode for rust Repl interaction

   Emacs Lisp 19 5

4. Interactive Janet mode

   Emacs Lisp 25 7

5. Emacs compilation-mode based support for python 3.6+ Type Hint Checking using mypy

   Emacs Lisp 12

6. O(1) Successive binning histograms

   Rust

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