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Achievements

Achievement: Pull Sharkx2Achievement: Galaxy BrainAchievement: YOLOAchievement: Pair ExtraordinaireAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: Galaxy BrainAchievement: YOLOAchievement: Pair ExtraordinaireAchievement: Quickdraw

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NKTKLN/README.md
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「 About me 」

«Data has a memory. Models have ghosts.»

⌬ Name: NKTKLN
⌬ Focus: Tabular ML & ML-algorithms from scratch, applied math, LLM/agentic backend engineering
⌬ Class: ML Engineer
⌬ Location: Moscow, Russia

「 Skills 」

⌬ Languages: Python · SQL · Go
⌬ ML/AI: scikit-learn · XGBoost · CatBoost · LightGBM · Optuna · ML algorithms from scratch · vector search (HNSW/LSH) · LLM integration · RAG · embeddings · agentic tool-calling
⌬ Data: pandas · NumPy · SciPy · Matplotlib · Streamlit · web scraping (Playwright, BeautifulSoup)
⌬ Backend: FastAPI · async SQLAlchemy 2.0 · Pydantic v2 · Celery
⌬ Storage: PostgreSQL · Redis · MongoDB · MinIO
⌬ DevOps: Docker · CI/CD · Linux · uv · ruff · pytest

「 Contacts 」

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Thank you for visiting! 🌸

Pinned Loading

  1. ai-notes-api ai-notes-api Public

    FastAPI backend for managing AI-related notes, prompts, conversations, and LLM workflows.

    Python 1

  2. homelab homelab Public

    Infrastructure-as-code for my homelab platform: Proxmox-based virtualization, GPU worker, VPN, and ops host managed with Terraform and Ansible.

    HCL

  3. pytorch-dl-lab pytorch-dl-lab Public

    PyTorch deep learning roadmap: tensors, training loops, CNNs, RNNs, attention, Transformers, and tiny LLMs.

    Jupyter Notebook

  4. classical-ml-lab classical-ml-lab Public

    Practice repository for classical machine learning.

    Jupyter Notebook 1