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sa111nt/README.md

Computer Science Graduate | Poznan University of Technology

Status: Candidate for MSc in Engineering and Computer Science (AI) at Politecnico di Milano. Open to AI / Software Engineer positions.

Directing my professional focus toward applied software engineering. My core interest lies at the intersection of system architecture and Artificial Intelligence. I am currently focused on hands-on development, transforming a theoretical understanding of AI into functional software. My approach prioritizes robust design and the practical implementation of AI models into production-ready systems.

Linguistics

English (C1) - Advanced
Polish (C1) - Advanced
Russian - Native
Belarusian - Native

Connectivity

Email: timkotsky@gmail.com

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  1. LogiTrack LogiTrack Public

    Async FastAPI inventory and logistics backend with PostgreSQL, SQLAlchemy, JWT/RBAC, transactional stock movements, and layered service-repository architecture.

    Python

  2. enterprise-ai-agent enterprise-ai-agent Public

    Enterprise HR AI assistant backend with LangGraph, RAG, Qdrant, Redis semantic caching, SSE streaming, and PostgreSQL-backed conversation state.

    Python

  3. ProcessM-NoSQL-Diploma ProcessM-NoSQL-Diploma Public

    Forked from KMaciejewsk/ProcessM-NoSQL

    PQL query engine for process mining event logs using Kotlin, Spring Boot, ANTLR4 and Apache CouchDB.

    Kotlin

  4. Deep-Learning-Tasks Deep-Learning-Tasks Public

    Collection of university tasks covering deep learning models, neural networks, and computer vision.

    Jupyter Notebook

  5. Machine-Learning-Tasks Machine-Learning-Tasks Public

    Collection of machine learning tasks covering classification, regression, clustering, feature engineering, and model evaluation.

    Jupyter Notebook