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10 followers · 10 following
  • LIDS Unicamp - Laboratory of Image Data Science
  • FT Unicamp
  • LinkedIn in/heitor-nolla

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heitornolla/README.md

Hey there! I'm Heitor :)

  • 🔭 Information Systems bachelor at UNICAMP.
  • 🌐 RYEP Exchange Student to Coahuila, Mexico 2019/2020.
  • 🌱 Interested in Data Engineering, AI, ML and Computer Vision Research.
  • 😄 Pronouns: he/him.

About Myself:

I'm a researcher and developer working at the intersection of AI, biometrics, and data engineering.

My journey has taken me from backend development in industry to R&D in Large Language Models, Time Series, and Biometric Security.

Currently, my work is mainly focused on applications of deep learning and computer vision in biometric security, as I'm working as a Student Researcher at Unicamp's Laboratory of Image Data Science (LIDS), on an Undergraduate Research project funded by Griaule.

Professional Experiences

  • Languages & Frameworks: Python, C#, C++, Java, JavaScript/TypeScript, FastAPI, Spring
  • AI/ML: PyTorch, TensorFlow, Scikit-Learn, OpenCV, LangChain, LangGraph
  • Data & DevOps: Pandas, Airflow, dbt, Docker, GitHub Actions, SQL, Pydantic, Poetry
  • Cloud: AWS, Azure

Currently Learning

  • Data Engineering: ETL/ELT, data lakes, and warehouse design.
  • AgenticAI: reasoning patterns, orchestration, and benchmarking.
  • Security: Web and Application Security
  • Cryptography: Privacy-preserving AI for biometrics and authentication systems.

Top Langs


Python PyTorch TensorFlow Airflow AWS Docker

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  1. WebScraping-MercadoLivre WebScraping-MercadoLivre Public

    This project performs Web Scraping on Mercado Livre's website, scraping data related to 5 string basses. It then cleans this data and turns it into a SQL database to be loaded on Streamlit. This ca…

    Python 1 1

  2. Sentiment-Analysis-with-Natural-Language-Processing Sentiment-Analysis-with-Natural-Language-Processing Public

    We develop a classification model, which will identify if a customer review was positive or negative. Furthermore, we gather explainability from the model by applying LIME and SHAP.

    Jupyter Notebook

  3. Analysis-of-Voter-Abstention-through-Clustering Analysis-of-Voter-Abstention-through-Clustering Public

    Analysis of voter abstention on brazilian elections

    Jupyter Notebook

  4. Commodity-DW-on-AWS-RDS Commodity-DW-on-AWS-RDS Public

    This project implements a modern Data Warehouse (DW) architecture designed to store and analyze commodity data. We work with an ELT architecture with Postgres and DBT. Data visualization is done wi…

    Python