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fluiz7/README.md

Hi, I'm Luiz Felipe C. Cristino 👋

CTO & Co-Founder @ Sokrates.AI — building AI-powered education systems

Generative AI · Multi-Agent Systems · RAG · Web Accessibility · Edge Computing & 5G

LinkedIn  •  Academic page  •  Email


👨‍💻 About me

I'm a Computer Engineering student at UFRJ (Escola Politécnica) and CTO & Co-Founder of Sokrates.AI, an award-winning startup applying Socratic AI to education. I work end-to-end on modern AI products — from multi-agent architectures and RAG pipelines to cloud infrastructure and accessible interfaces — backed by a research foundation in edge computing and 5G networks.

  • 🚀 Leading tech & architecture at Sokrates.AI — multi-agent tutor (LangGraph, RAG, multi-provider LLM gateway) on AWS + GCP + on-prem, used by 69 teachers across 19 institutions; in a pilot with RNP's Network College, 30 of 52 students joined voluntarily and 72.7% found the mentoring useful
  • 🔬 Former research intern at GTA/UFRJ — built an Android toolkit that collected ~20k latency samples on real 4G/5G networks; two published papers + public dataset
  • ♿ Web accessibility (WCAG 2.2 / eMAG / ABNT NBR 17225) — audit of UFRJ's accessibility portal with 17 proposed fixes
  • 🦀 Currently leveling up in Rust for high-performance backends

🏆 Highlights

  • 🥇 1st place — IEEE AI Pioneer Summit 2025 (Brazil) with Sokrates.AI
  • 🌎 Best Startup of Latin America — IEEE Region 9 Entrepreneurship 2025 (16 startups, 6 countries)
  • 🌍 Finalist (4 of 38 startups) — IEEE Technology Summit 2026, AI Founder Showcase (Budapest)
  • 🎓 Honorable mention — SIAC/UFRJ undergraduate research conference

🔬 Selected publications

🚀 Featured projects

  • grounded-rag — Multi-agent RAG with a groundedness critic: a LangGraph pipeline (Retriever → Answerer → Critic) that verifies every answer against sources and retries retrieval when evidence is missing. Runs 100% locally (Ollama + Chroma).
  • a11ybar — Zero-dependency accessibility toolbar mapped to WCAG 2.2 / eMAG 3.1 / ABNT NBR 17225, with opt-in VLibras — born from my accessibility-audit work at UFRJ. Live demo.
  • emag-audit — CLI auditor for the Brazilian accessibility standards: 18 checks mapped to WCAG 2.2 + eMAG 3.1 that output instructional Markdown reports (diagnosis → fix proposals). Field-validated against WAVE/AMAWeb findings.
  • WolfLatency — Android client/server toolkit (Kotlin/Compose) that measures edge (MEC) latency under mobility on real 4G/5G networks: ~20k samples collected in Rio de Janeiro, public dataset, data behind both papers above.
  • Edge Latency under Mobility — Python analysis (pandas · scikit-learn · matplotlib) turning those measurements into the figures and statistics reported in the publications.

🛠️ Tech stack

Python Rust Dart Flutter Kotlin JavaScript

LangChain Docker AWS Qdrant MySQL

Focus areas: multi-agent AI & RAG · generative-AI applications · accessible web platforms · mobile (Flutter/Kotlin) · cloud infrastructure

📫 Let's connect

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  1. grounded-rag grounded-rag Public

    Multi-agent RAG with a groundedness critic: LangGraph pipeline (Retriever -> Answerer -> Critic) that verifies answers against sources and retries retrieval. 100% local via Ollama + Chroma.

    Python

  2. a11ybar a11ybar Public

    Zero-dependency accessibility toolbar: text scaling (no reload), high contrast, WCAG 1.4.12 reading comfort, motion pause, link underlining and opt-in VLibras - every feature mapped to WCAG 2.2, eM…

    JavaScript

  3. emag-audit emag-audit Public

    Static accessibility auditor for Brazilian standards: 19 checks mapped to WCAG 2.2 + eMAG 3.1, with instructional Markdown reports (diagnosis -> fix proposals with normative criteria). CI-friendly.

    JavaScript

  4. GTA-UFRJ/WolfLatency GTA-UFRJ/WolfLatency Public

    Android client–server toolkit for measuring end-to-end network latency under mobility, correlated with GPS and cellular (4G/5G) signal metadata. Data behind two peer-reviewed papers.

    Kotlin 1 1

  5. Experimentos Experimentos Public

    Measurement & analysis of MEC edge latency under user mobility on real 4G/5G networks — code, datasets and figures behind two published papers.

    HTML