# Anthony Bet

Anthony Bet is a remote worker on Himalayas, Machine Learning Engineer at FEESC - Fundação de Ensino e Engenharia de Santa Catarina, based in Brazil.

Source: https://himalayas.app/@anthonybet

```text
Machine Learning Engineer at FEESC developing physics-informed neural networks for seismic inversion and wavelet estimation.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Brazil |
| Authorized to work in | Brazil |
| Salary expectations | 48k+ USD |
| Job categories | Machine Learning Engineer, Data Scientist |
| Skills | Machine Learning, Deep Learning, Physics Informed Neural Networks, Geophysical Inversion, Computer Vision, Digital Rock Segmentation, Geophysics, Petrophysics, Natural Language Processing, Data Analysis, Statistical Modeling, Numerical Analysis, Computational Physics, Machine Learning Algorithms, Seismic Analysis |
| LinkedIn | https://linkedin.com/in/anthony-jo%C3%A3o-bet |
| GitHub | https://github.com/anthony-bet |

## About

```text
At FEESC, I develop seismic inversion models and scientific plugins for Petrel, combining applied machine learning research with software development. I work at L3C within UFSC’s Department of Informatics and Statistics, collaborating with LTrace on Petrobras offshore exploration projects.

My recent research developed a physics-informed neural network for joint seismic inversion and automatic wavelet estimation. It combined limited labeled well data with unlabeled seismic data and outperformed a conventional neural-network baseline in low-label experiments; I was first author and presented the work at IEEE IJCNN 2026.

Previously, at LTrace, I developed computer vision and deep learning models for digital rock segmentation. At Heimdall, I redesigned a ZeroMQ messaging system processing millions of tweets per day and built a Bitcoin compliance tool for clustering potentially related wallets and tracing fund flows.

I have a degree in Physics and completed an M.Sc. in Computer Science focused on Machine Learning. I also build AI applications with LangGraph and LangChain, bringing together research and practical software development.
```

## Experience

### Machine Learning Engineer (current)

FEESC - Fundação de Ensino e Engenharia de Santa Catarina. Nov 2023 - Present

```text
• Develop scientific software and C#/.NET plugins for Petrel, connecting computational methods with geoscience workflows.
• Develop and evaluate deep learning models in PyTorch for seismic inversion and digital rock segmentation in offshore exploration projects.
• Work at L3C, a lab in UFSC’s Department of Informatics and Statistics (INE), collaborating with LTrace on Petrobras projects.
• Combine
```

### Master Degree Student

Universidade Federal de Santa Catarina. Jan 2024 - Sep 2026

```text
• Completed an M.Sc. in Computer Science focused on Machine Learning, conducting research at L3C (INE/UFSC) alongside my work at FEESC.
• Developed a physics-informed neural network (PINN) framework for joint seismic inversion and wavelet estimation.
• Trained the wavelet estimation network jointly with the inversion network, removing the need to specify the seismic wavelet in advance.
• Combined
```

### Machine Learning Engineer

LTrace Soluções em Geofísica. Jul 2023 - Oct 2023

```text
• Worked on deep learning for seismic inversion and digital rock segmentation in geoscience projects.
• Used Python/PyTorch for model development and C#/.NET for scientific software in Petrel workflows.
• Contributed to applied ML work connected to Petrobras offshore exploration projects.
• Continued the project at L3C (INE/UFSC) after joining FEESC as a software engineer.
```

### Data Scientist

Heimdall. Aug 2020 - Jun 2023

```text
• Redesigned the messaging architecture with ZeroMQ to ingest, process and analyze millions of tweets per day.
• Used Neo4j to analyze social network data and generate insights for investors.
• Built a Bitcoin compliance tool that processed the network’s full transaction history, clustered potentially related wallets and enabled fund-flow tracking.
• Hosted databases and application services on Go
```

### Research Student

Universidade Federal de Santa Catarina. Mar 2021 - Aug 2021

```text
Inference of Effective Structural Connectivity from Temporal Activation Patterns

Worked on the so-called "inverse problem", specifically focusing on inferring structural networks based on corresponding functional activity obtained through electroencephalography (EEG). To achieve this, a theoretical model was adopted, and its solution was obtained through numerical calculations. The model was appl
```

### Research Student

Universidade Federal de Santa Catarina. Jan 2019 - Jan 2020

```text
Statistical Modeling of Human Visual Exploration

Implemented and adapted a statistical model of visual exploration based on entropy minimization and compared the model with empirical data obtained through eye-tracking techniques.
```

### Research Student

Universidade Federal de Santa Catarina. Jan 2017 - Jan 2018

```text
I performed numerical analysis on the modulated structure of a magnetic system with competing interactions (Vanimenus model), seeking information about the magnetization's periodicity in that region. I presented the project at two congresses: EOSBF 2018 (national) and StatPhys27 (international).
```

## Education

### Universidade Federal de Santa Catarina

Master of Science (M.Sc.), Computer Science. 2024 - 2026

```text
Master’s research in machine learning at L3C, a lab in UFSC’s Department of Informatics and Statistics (INE), alongside my work at FEESC.

Developed a physics-informed neural network (PINN) for joint seismic inversion and wavelet estimation. Evaluated the model on synthetic and real seismic data. In the SBGf 2025 Marmousi2 test at 0° incidence, impedance prediction R² increased from 0.77 to 0.90 c
```

### Universidade Federal de Santa Catarina

Bachelor of Science (B.Sc.), Physics. 2016 - 2021

### Neuromatch Academy

Computational Neuroscience

```text
Jul 2021
```

## Tech stack

- Google Cloud Platform
- PostgreSQL
- Neo4j
- Python
- C#
- C
- PyTorch
- ZeroMQ
- GraphQL
- SQL
- LangChain
- Bash
- LangGraph
- TouchDesigner
- REST APIs

To contact Anthony, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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