Anomaly detection using NFs
I study how to detect and infer anomalous data in the context of likelihood estimation.
Hi,
I'm an AI Data Science Specialist at Sorenson, where I build state-of-the-art deep learning systems that translate English text into American Sign Language (ASL).
As a deep learning and data science practitioner, my work spans a broad range of areas, from ML theory to AI in production.
I focus on creating solutions to address real-world complex problems through probabilistic machine learning.
I'm pursuing an M.Sc in Computer Science from the Department of Computer Science, UFMG, where I am a member of GoDeep (Geoscience Oriented Deep Learning), a research group studying deep learning approaches to solve geoscience problems funded by Petrobras. My research extends to generative models across a wide spectrum of contexts, ranging from stochastic forecasting to anomaly detection.
Before moving to Computer Science, as a Physics major funded by CNPq, I worked as an observational astronomer. Using Gaia DR3 data, I applied unsupervised learning algorithms to characterize stellar clusters.
When I'm not working, I enjoy mountaineering, climbing, travelling, and reading.
Experience
AI Data Science Specialist at Sorenson: 2026 - Present
Designing, implementing and deploying deep learning models that translate English text to American Sign Language (ASL).Finetuning and adapting LLMs and diffusion vision transformers across research and production.
Senior Data Scientist at Big Data: 2025 - 2026
Designed and deployed ML models (GBDTs, DeepFM, Neural Networks) for real-time predictions and recommendations across retail and wholesale.Built forecasting and uncertainty quantification frameworks, and architected the transition of legacy pipelines to high-performance, MLOps-driven frameworks.
Research Scientist at Petrobras: 2023 - 2025
Designed and deployed deep learning models (Transformers, CNNs, ViTs, UNets) for automated seismic interpretation and fault detection.Architected a high-reliability RAG system over internal documents to support data-driven decision-making.
AI and Statistics Consultant: 2023 - Present
Providing tailored solutions in artificial intelligence and statistical modeling to solve complex business.Designed and deployed models, dashboard and pipeline for multiple small and medium companies.
Data profiling and statistical analysis in projects under Fiocruz, FUNAI and Ministério da Saúde.
Graduate Researcher in Computer Science, 2023 - 2025
M.Sc research at UFMG, in partnership with Petrobras.Generative modelling, covariate shift and performance degradation through probabilistic machine learning.
Undergraduate Researcher in Astrophysics, 2022-2023
Developed a methodology to quantify uncertainty in identifying stellar populations through unsupervised clustering algorithms.Studied Milky-Way substructures through classical machine learning using Gaia space telescope.
Summer Internship at JPL (NASA), 2021-2021
Fundamental modelling of orbital dynamics in LEO and profiling sensor systems.Research Assistant in Astrophysics, 2020-2022
Developed an automatic isochrone fitting algorithm with Gaia space telescope data.Research
Current research
Seismic fault detection
As part of my Petrobras research, I study and develop automatic seismic interpretation tools.
Past research
Automatic isochrone fitting
I studied how to automatically fit isochrones to a star cluster in a colour-magnitude diagram.
Milky Way substructures
I studied the relationship between open star clusters with MW's substructures, such as stellar streams.
Clustering algorithms applied to stellar populations
I applied unsupervised clustering algorithms to identify and charcterize open star clusters.
Timeline
2026-Present
SorensonAI Data Science Specialist
Deep learning models for English to ASL translation.
2025-2026
Big DataSenior Data Scientist
ML models for real-time retail and wholesale predictions.
2023-2025
PetrobrasResearch Scientist
Deep learning for automated seismic interpretation.
2023-Present
M.Sc Computer Science, UFMGResearch on Deep Learning and Generative Modelling.
2019-2022
B.Sc Physics, UFMGConcentration in Astrophysics and Computational Physics
Publications
A systematic review of deep learning for structural geological interpretation
Gustavo Lúcius Fernandes, Flavio Figueiredo, ... , João Pedro Pires
Data Mining and Knowledge Discovery, 2025
DOI / Link
Gustavo Lúcius Fernandes, Flavio Figueiredo, ... , João Pedro Pires
Data Mining and Knowledge Discovery, 2025
DOI / Link
Preliminary study of open clusters associated with Milky Way substructures through automatic isochrone fitting
João Pedro Pires, João Francisco Coelho dos Santos Jr.
XLV Annual Meeting of the Brazilian Astronomical Society, 2022
Contact me
If you have any questions feel free to ask!