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miharcan/README.md

Mihael Arcan

Building production-grade AI systems: RAG, agentic workflows, and LLM evaluation.

Featured Work

Focus

Python FastAPI RAG Agents Evaluation Qdrant PostgreSQL Docker

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  1. microlearning-app microlearning-app Public

    Microlearning App: AI-powered Android app that transforms doomscrolling into context-aware 3-15 minute learning sessions with adaptive practice, spaced retention, and privacy-first design.

  2. grounded-react grounded-react Public

    A retrieval-grounded ReAct agent framework that reasons strictly from documentation and source code. Designed for infrastructure systems, but adaptable to any document-centric platform.

    Python

  3. event-driven-alpha event-driven-alpha Public

    A leakage-controlled research framework for evaluating structured and semantic news signals in time-series asset return prediction using walk-forward validation.

    Python

  4. docforge docforge Public

    DocForge is a lightweight, end-to-end retrieval + RAG answering project built on a real product documentation corpus (GitLab) plus an operating system doc corpus (Ubuntu).

    Python

  5. llm-platform llm-platform Public

    Multi-tenant RAG platform with JWT tenant isolation, RBAC, Qdrant filtering, structured observability, and PostgreSQL audit logging.

    Python

  6. chatbot_guardrails chatbot_guardrails Public

    Guardrail API for detecting personalized mental-health advice with explainable safe/unsafe decisions. Docker-first, FastAPI, Cloud Run-ready, with auth, rate limits, and cost controls.

    Python