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@ikonushok
ikonushok
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Senior / Lead Applied ML Engineer с опытом внедрения прикладных ML/DL-систем в production, включая RecSys, CV, anomaly detection и промышленные AI-проекты.

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  1. recommender-systems-from-zero recommender-systems-from-zero Public

    Учебный проект по рекомендательным системам: от baseline, content-based и collaborative filtering до метрик, hybrid-подходов и введения в neural recommenders

    Jupyter Notebook 1

  2. hiking-route-recommender-demo hiking-route-recommender-demo Public

    Synthetic commercial-style demo of a hiking route recommender: data pipeline, feature engineering, baseline, hybrid retrieval, business rules, offline evaluation, and FastAPI API.

    Python 2 1

  3. credit-default-prediction credit-default-prediction Public

    Reproducible Python ML pipeline for credit-default scoring: src/, configs, validation, leakage checks, notebook report.

    Python 1

  4. loan-offer-acceptance-prediction loan-offer-acceptance-prediction Public

    Leakage-safe ML pipeline for predicting corporate credit-offer acceptance with ROC-AUC validation and reproducible submissions.

    Python 1

  5. agent-pack-designer agent-pack-designer Public

    Design minimal AI agent packs for Codex and Claude from project descriptions.

    Python 10

  6. project-readiness-auditor project-readiness-auditor Public

    Evidence-based auditor for third-party software projects: code-only review, docs-vs-code validation, readiness assessment, risk classification, and actionable Markdown reports.

    Python 2

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