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Always in a git rebase --interactive with life.
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Always in a git rebase --interactive with life.

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LukeSantossz/README.md

AI Engineer building RAG and agent systems. I work on the part after the model works: grounding, verification, and the limits that keep it honest.

Open to remote roles, international or Brazil-based · GMT-3

Open source

What it is Proof Stack
sb100_agents Self-hostable RAG API that scores its own confidence Agent gate calibrated to 96.7% / 3.3% TPR-FPR · 372 tests, 89.8% coverage · 15 ADRs Python FastAPI Qdrant Ollama LangGraph
tweet-sentiment Sentiment classification fine-tuned end to end 0.887 macro F1, +51.9% over the frozen-features baseline · 28.5× faster Rust preprocessing, parity validated at 3 scales Python Rust PyTorch Polars
weather-forecast scikit-learn model running in the browser Matched to 1e-6 against Python · 200-tree forest serialised and traversed in TypeScript · test-first across 20+ features, traceable in the log Python TypeScript LightGBM
visiosoil-app Soil texture from a photo, fully offline 3rd of 1,300+ at FETEPS 2025 · paper published at ICPA/ConBAP 2026 · on-device inference in a killable isolate, group-aware dataset splits Flutter Dart TFLite

Built at work

Closed source. Numbers verified against the repositories I contributed to.

What it is Proof Stack
Agent code-generation platform Spec in, working application out 103k lines, 3,397 tests · generated code isolated in per-job micro-VMs · deterministic security gate Python LangGraph Kata Docker
AI advising platform Grounded answers over institutional data Hybrid retrieval built from scratch over pgvector · refuse-before-call gate and post-answer verifier · 854 tests Python FastAPI pgvector Anthropic

My AI Engineering Stack

Agents & Orchestration

RAG & Retrieval

ML & Inference

Backend & Data

Infra & Quality

GitHub Activity

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  1. tweet-sentiment-analysis tweet-sentiment-analysis Public

    A Natural Language Processing (NLP) project focused on Exploratory Data Analysis (EDA) and sentiment classification of Twitter data using Machine Learning.

    Python

  2. visiosoil-app visiosoil-app Public

    Mobile app built with Flutter and Dart, integrating Machine Learning and Computer Vision for real-time soil texture classification

    Dart

  3. sb100_agents sb100_agents Public

    RAG-based agricultural Q&A system using FastAPI, Qdrant vector database, and Ollama LLM for semantic document retrieval and response generation from PDF knowledge bases.

    Python 1 3

  4. weather-forecast weather-forecast Public

    End-to-end temperature forecasting pipeline: 0.27°C RMSE across 211 countries. Gradient boosting (sklearn/LightGBM) and statistical baselines (ARIMA/SARIMA/Prophet) in an inverse-RMSE weighted ense…

    Python