Breno's portfolio

Academic Formation

Degree	Resume
PhD in Physics - Universidade do Estado do Rio de Janeiro (2017 - 2022)	Thesis: Weyl superconductor with dynamical pseudo-axion field, an interplay between high energy and condensed matter physics Summary: Topological materials require a new characterization called topological order, which connects different phases of matter that are not distinguishable via symmetry considerations. Such materials have an electromagnetic response rooted in the so-called theta term, which is analogous to CFJ couplings (Weyl semimetal) and axion-like field (topological insulator). In this work, the fundamentals of topological materials were examined, their description within field theory, as well as obtaining the electromagnetic response of a semimetal when perturbed by a quartic fermionic pairing, triggering the formation of a charged chiral condensate, resulting in an axionic superconductor (massive photons interacting with axion-like particles). Additionally, 1-loop quantum corrections generated by axionic fluctuations to the Yukawa potential and modifications to the London penetration depth were analyzed. Keywords: Topological Materials; Quantum Field Theory; Condensed Matter; Superconductor.
Master's degree in Physics - Universidade do Estado do Rio de Janeiro (2015-2017)	Master's thesis: Boundary conditions in AdS CFT: scalar and vector fields Summary: AdS/CFT (anti-De Sitter/Conformal Field Theory) is a holographic relationship between two theories, one with gravity in a universe with d dimensions and another conformal field theory defined on the boundary of this space with (d-1) dimensions. In this work, an introduction to anti-De Sitter spacetime and conformal field theories was provided, along with a comprehensive approach to different boundary conditions of spacetime using scalar and massive vector field theories, and calculating the 2-point function for the cases studied. Keywords: AdS/CFT correspondence; Holographic ; Quantum Field Theory; Boundary Conditions.
Bachelor degree in Physics - Universidade do Estado do Rio de Janeiro (2010-2015)	Monograph: A brief study of Topologic Isolators: an approach to the TME Summary: Study of the topological-magnetic effect (TME) by examining the topological term in the electromagnetic Lagrangian. Calculation of constitutive equations and development of the problem of image charges. Keywords: Topological Insulator; Electromagnetism; Topological-Magnetic Effect; Magnetic monopoles.

Academic Experiences

Category	Experience	Summary
Teached Course	Computational Tools and Simulations in Physics 2022 3rd School of PPGF-UERJ	A mini-course to familiarize students with computational tools for data sharing/storage, communication, personal and group organization (Notion), file generation (LaTeX), and an introduction to physical systems' simulation. Conducted in conjunction with Silas Santos and Prof. Dr. Catarine Gondim.
Published Paper	Massive photon propagator in the presence of axionic fluctuations 2021. Phys. Rev. B 103, 165120, collaboration with R. C. L. Bruni and M. S. Guimaraes.
Teaching Internship	Physics 1A 2020/02 IF-UERJ Theoretical and Experimental Physics I 2019/01 Physics Mechanics 1A 2016/01	Organization and creation of content for the Virtual Learning Environment. Virtual asynchronous and synchronous support for students.
Presented work in events	II Jornada da PPGF 2020 IF-UERJ I Jornada da PPGF 2019 IF-UERJ Workshop on Long-range Interactions and Synchronization 2018 ICTP-SAIFR 21st to 24th Scientific Initiation Week 2012-2015

Certifications

Name	Summary
Microsoft Certified: Azure AI Fundamentals	Azure AI \| Computer Vision \| Natural Language Processing \| Generative AI
AWS Certified Cloud Practitioner	Amazon Web Services AWS \| Cloud \| Cloud Computing \| Cloud Services \| Cloud Platform
Python Data Analytics	Power BI \| ETL \| MySQL \| Data Analytics \| Python
Trilha Digital \| Coders 2024 \| Data Science	Data Science \| Python
Networking and Linux Essentials for AWS	Linux \| Networking
Introduction to Programming with a focus on Front-End	HTML \| CSS \| JavaScript \| Databases
Bootcamp: Microsoft Azure AI Fundamentals	Azure Services \| Machine Learning \| Vision Studio \| Language Studio \| Speech Studio \| Ai Search \| Copilot
Machine Learning Specialization	Courses: Unsupervised Learning, Recommenders, Reinforcement Learning, Advanced Learning Algorithms and Supervised Machine Learning: Regression and Classification Machine Learning \| Tensorflow \| Deep Learning \| Machine Learning Algorithms \| Applied Machine Learning \| Natural Language Processing \| Computer Vision
The Complete SQL Bootcamp	Reading and writing complex queries to databases \| PostgreSQL and PgAdmin \| SQL syntax \| Creating tables and databases with data entry constraints \| Using Python to enhance SQL skills
Linux Mastery: Master the Linux Command Line in 11.5 Hours	Efficient command handling \| Data redirection \| Constructing pipelines \| File and folder management \| Searching \| Backup \| Writing bash scripts \| Writing `cron` scripts
Python for Machine Learning & Data Science Masterclass	Python for data manipulation and analysis \| NumPy \| Pandas \| Matplotlib \| Seaborn \| Linear Regression \| K Nearest Neighbors \| K Means Clustering \| Decision Trees \| Random Forests \| Natural Language Processing \| Support Vector Machines \| Hierarchical Clustering \| DBSCAN \| PCA
Data Science: Deep Learning and Neural Networks in Python	Neural Network Architecture \| Weights, Input & Output Layer \| Training & Test Data \| Accuracy & Error Function \| Feed-Forward & Back-Propagation \| Gradient Descent \| Hidden Layers \| Activation Function \| Categorization \| Image Recognition \| Improving the Network
Computational Physics: Scientific Programming with Python	Interpolation & Model Fitting \| Derivatives & Integrals \| Differential Equations \| Eigenvalue Problems \| Monte Carlo Methods \| Calculating the Magnetic Field of a Charged Wire \| Chaos & the Butterfly Effect \| Heat Propagation in a Sample \| Simulating (and Navigating) a Spaceship Interacting with Sun, Earth, and Moon \| The Strange Behavior of Coupled Oscillators \| Ferromagnets & Antiferromagnets \| Special Properties of Graphene
Neural Networks in Python from Scratch: Learning by Doing	Neural Network Architecture \| Weights, Input & Output Layer \| Training & Test Data \| Accuracy & Error Function \| Feed-Forward & Back-Propagation \| Gradient Descent \| Hidden Layers \| Activation Function \| Categorization \| Image Recognition \| Improving the Network \| Other Problems Solvable with Neural Networks \| Using Pre-Trained Networks
The Complete Python Bootcamp From Zero to Hero in Python	Command Line Basics \| Installing Python \| Running Python Code \| Strings \| Lists \| Dictionaries \| Tuples \| Sets \| Number Data Types \| Print Formatting \| Functions \| Scope \| args/kwargs \| Built-in Functions \| Debugging and Error Handling \| Modules \| External Modules \| Object Oriented Programming \| Inheritance \| Polymorphism \| File I/O \| Advanced Methods \| Unit Tests
Fundaments for Software Development by Microsoft and LinkedIn	Courses: Introduction to the Essential Competencies for the Career in Software Development and Programming Fundamentals Programming \| Software Development \| Software Development \| Tech Career Skills \| Software Development Life Cycle (SDLC)

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