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sa111nt (tim) · GitHub

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sa111nt/README.md

Software Engineer

I build software systems with a strong focus on backend architecture and the practical application of Artificial Intelligence. My work combines reliable software engineering with AI-powered applications, with a particular interest in LLM-based systems and intelligent backend solutions.

I am focused on designing maintainable, production-oriented software and exploring how modern AI capabilities can be integrated into real-world applications.

I have a broad interest in Artificial Intelligence as a field, including its different approaches, technologies, and areas of application. At the same time, I enjoy exploring software architecture and design as a whole, from individual components and abstractions to the way systems interact and operate across different layers.

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. ai-meeting-analyzer ai-meeting-analyzer Public

    Async FastAPI audio processing backend with Celery, RabbitMQ, PostgreSQL, Redis, S3-compatible storage, faster-whisper transcription, and vLLM-powered analysis.

    Python

  4. 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

  5. Deep-Learning-Tasks Deep-Learning-Tasks Public

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

    Jupyter Notebook

  6. Machine-Learning-Tasks Machine-Learning-Tasks Public

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

    Jupyter Notebook

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