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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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Divaaaan/README.md

Danya — full-stack & ML engineer

WHOAMI

Full-stack & ML engineer. I build production systems end-to-end — backend, frontend, and the infrastructure under them — and I work AI-native: LLM agents, MCP tooling, local models.

STACK

Python FastAPI Django TypeScript React Go Rust PostgreSQL Docker Linux

FEATURED

repo what it is stack status
procurement-forecasting demand forecasting built around the ordering decision — quantile-of-sum orders, tiered service levels, order-level backtesting; benchmarked on M5 Python · Nixtla · LightGBM v1
tenebra cross-platform VPN client on sing-box — stdlib-only core, honest leak-check, CI with race detector + e2e Go · Tauri · React pre-release
Dota AI Coach real-time coaching over Valve's official GSI — deterministic rule engine + LLM advice on a transparent overlay Python · FastAPI · Electron early

CURRENTLY

  • applied ML — demand forecasting on the Nixtla stack: demand classification, conformal prediction intervals, hierarchical reconciliation, honest leak-free backtesting
  • LLM tooling — real-time agents, MCP integrations, local-model pipelines

SIGNALS

Language distribution and contribution stats

CONTACT

Email

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  1. proj_d proj_d Public

    Live AI coach for Dota 2 via official GSI: FastAPI listener + transparent Electron overlay

    Python

  2. tenebra tenebra Public

    Cross-platform VPN client built on sing-box

    Go

  3. procurement-forecasting procurement-forecasting Public

    Procurement-oriented demand forecasting for many-SKU intermittent demand: quantile-of-sum ordering, tiered service levels, order-level backtesting. Demonstrated on M5.

    Python