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Findng purpose
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Findng purpose

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justin-marian/README.md

About me on short

I’m a Computer Science graduate who stumbled into Artificial Intelligence but never looked back.

What began as an interest quickly escalated into an obsession. I learned that AI is not simply about creating models or extracting metrics; it is about recognizing opportunities that are not immediately apparent and making them work reliably.

Throughout my Master's program, I am currently exploring areas such as knowledge representation and reasoning, computer vision, machine learning, data mining, natural language processing, multi-agent systems, neural networks, self-organizing systems, and software verification.

My page will feature a variety of projects, and I intend for that to continue.

Technical Stack

Artificial Intelligence & Data

Programming Languages

Systems & Development

Web & Backend

Other Tools

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  1. smart-home-mas smart-home-mas Public

    A smart-home multi-agent decision handler that parses natural-language requests, validates them against device contracts and user preferences, and converts feasible commands into reliable executabl…

    Python

  2. apartment-rent-predictor apartment-rent-predictor Public

    End-to-end apartment rent prediction using regression models, tuning, and ensemble validation.

    Jupyter Notebook

  3. hybrid-rag-playground hybrid-rag-playground Public

    Impact-driven Hybrid RAG playground for building trustworthy local QA through better retrieval, grounded Ollama generation, citation validation, and BEIR evaluation.

    Python

  4. polyphony-analyzer polyphony-analyzer Public

    NLP application that uses the Bakhtinian Polyphonic Model to analyze brainstorming sessions. The tool analyzes textual data to identify thematic voices and model conversations.

    Python

  5. salsa-dashboard salsa-dashboard Public

    Link analysis algorithms for web ranking, including SALSA (stochastic hubs/authorities), HITS, and PageRank.

    Python

  6. awesome-medical-rag awesome-medical-rag Public

    ⭐ Awesome Medical QA/RAG: A curated list of 200+ papers, datasets, and benchmarks for Healthcare AI, Knowledge Graphs, and Multilingual Reasoning.

    5