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Always in a git rebase --interactive with life.
👽
Always in a git rebase --interactive with life.
11 followers · 24 following

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

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LukeSantossz/README.md

AI Engineer building production-oriented ML systems for agribusiness, one of the most data-rich and underserved verticals for applied AI globally. Work spans multi-agent RAG orchestration, on-device computer vision, and end-to-end NLP pipelines with Transformer fine-tuning.

Open to remote ML/AI engineering roles — international or Brazil-based.

Featured Projects

Project What it solves Stack
sb100_agents Producers have no scalable access to precise agronomic knowledge, agronomists are costly and research literature is inaccessible at field level Python · LangGraph · Qdrant · HuggingFace
visiosoil-app Soil texture assessment requires lab analysis or trained specialists, neither is viable for large properties in low-connectivity rural environments Flutter · Dart · TFLite · Riverpod
tweet-sentiment-analysis Generic sentiment classifiers fail on social media language, slang, sarcasm and platform-specific syntax cause unreliable outputs Python · HuggingFace · FastAPI · Docker

My Knowledge Stack

Language & Data

Deep Learning & Computer Vision

Agents & Vector Search

Infra, Deployment & Mobile

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.

    Jupyter Notebook

  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

  4. weather-forecast weather-forecast Public

    End-to-end temperature forecasting pipeline, 0.19°C RMSE across 211 countries. Statistical models (ARIMA/SARIMA), gradient boosting (LightGBM), inverse-RMSE, weighted ensemble, and dual anomaly det…

    Jupyter Notebook