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License: MIT License
JavaScript 11.22%
Go 72.22%
CSS 4.55%
Makefile 0.34%
HTML 7.68%
Python 3.98%
neighbors-force's Introduction
Machine Learning Engineer | Young Technology Enthusiast | BioTech Student
- ML Fields: Classic ML, NLP, RecSys, LLM
- Languages: Python, SQL, C/C++, Go
- ML stack: PyTorch, W&B, Optuna, Sklearn, Catboost/XGBoost/LightGBM
- BigData: Hadoop, Hive, PySpark, Pandas/Polars
- Web stack: FastAPI, Streamlit, Flask, Django
- DevOps: Docker, Git, Linux
๐ Competition Background
๐จโ๐ป Work Experience
- Freelancer (September 2022 - Present Day)
- ๐ค AI
- ๐๏ธโโ๏ธ Gym
- ๐ฟ Memes
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