Looking for a job

João Rebeschini

@joorebeschini

Message

I build Generative AI pipelines for complex document and agricultural intelligence workflows.

Brazil

Message

What I'm looking for

I'm looking to build applied AI systems that combine LLMs, machine learning, data pipelines, and real-world workflows, especially where reliable automation and human-review feedback improve complex decisions.

At Elogroup, I build Generative AI pipelines that draft administrative tax litigation reports from OCR-processed legal documents.

I design multi-stage workflows for classification, structured extraction, deterministic processing, report compilation, and LLM-based text refinement. I use Python, LangGraph, LangChain, Jinja templates, versioned prompts, and automated tests to improve accuracy, completeness, and consistency.

I'm also building TerraLink, an intelligent soil-monitoring platform that connects field sensors, LoRaWAN/NB-IoT, cloud processing, and AI to support irrigation and crop-management decisions.

My foundation in data science includes Python, PySpark, SQL, data governance, machine learning experiments, and computer vision for aerial agricultural imagery. I've worked with GPT, Claude, Gemini, YOLO, Faster R-CNN, and RetinaNet across applied enterprise and agricultural use cases.

Experience

Work history, roles, and key accomplishments

Current

Founder & AI/IoT Engineer

Current

TerraLink

Feb 2026 - Present (9 months)

Building an intelligent soil monitoring platform combining IoT, real-time data, cloud infrastructure, and Artificial Intelligence. Designed data architecture from field sensors and LoRaWAN/NB-IoT connectivity to cloud processing, storage, and application layers.

IoT LoRaWAN NB IoT Cloud Infrastructure AI Data Architecture Time Series Analysis Alerts Indicators

Current

Data Scientist / AI Consultant

Current

Elogroup

Apr 2024 - Present (2 years 7 months)

Develops Generative AI pipelines for automated drafting of administrative tax litigation reports from OCR-processed legal documents. Designs prompts for document classification and structured legal information extraction, and orchestrates graph-based AI workflows with LangGraph/LangChain.

Generative AI Large Language Models Prompt Engineering Document Classification Structured Extraction LangGraph Lang Chain Python Jinja OCR GPT Claude Gemini Testing Automation Data Pipelines

Data Science Intern

Embraer

May 2022 - Oct 2022 (5 months)

Supported data centralization and governance initiatives across Data Lake/Data Warehouse environments. Processed SAP data using Python/PySpark and SQL and developed Power BI dashboards.

Data Lake Data Warehouse Apache NiFi Google Cloud Dataflow Pentaho Python PySpark SQL Power BI

Data Science Intern

Ministry of Science, Technology and Innovation

Feb 2021 - Jul 2021 (5 months)

Developed web scraping, data cleaning, and standardization pipelines and supported Machine Learning experiments using Bag of Words, Naive Bayes, Random Forest, and SVM. Co-authored a scientific paper published at EnANPAD.

Web Scraping Data Cleaning Data Standardization Machine Learning Bag Of Words Naïve Bayes Random Forest SVM

Education

Degrees, certifications, and relevant coursework

University of Brasília

Bachelor of Science, Mechatronics Engineering

2018 - 2023

B.Sc. in Mechatronics Engineering. Final project focused on Deep Learning and Computer Vision for aerial agricultural imagery, applying YOLO, Faster R-CNN, and RetinaNet for object detection and crop-row analysis.