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Filipe Ra
malho -
Physics
student wi
th ML focus
Berliner Str. 29,
55131 Mainz, Ger
many
filiperamalho.de
|
privat@filiperamalho.de
|
+49 176 22095047
github.com/FilipeRamalho
|
linkedin.com/
in/fmdsr/
Profil
My research work currently involves im
plementing
neural networks
(PyTorch) to
solve physical problems. I generally take
a
data-driven approach
(Python, Mathe
matica) in my work and enjoy working
in interdisciplinary teams. I place great im
portance on
clear documentation
and the
reproducibility
of my results (Docker, CI/
CD). In my spare time, I experiment with
modern software development
(Type
Script, Kotlin) to expand my skills in clean
code design and user-friendly interfaces.
Experience
Working Student
(
Berufsge
nossenschaft Holz und Metall
)
•
Migrated 2,000+ servers
from MS SCOM to PRTG.
•
Connection of Grafana to
PRTG via an SQL interface.
•
Developed custom PRTG
sensors using PowerShell.
•
Supervised trainees.
since 11/2023
Research Assistant
(
ZDV Mainz
)
•
Performed routine hard
ware maintenance.
•
Ported websites to mo
dern JavaScript frame
works.
•
Developed Python
scripts for HPC operati
ons.
09/2021 - 10/2023
Internship
(
Institute for Nuclear
Physics, Mainz
)
•
Designed and soldered circuits for
experiments.
•
Sparked interest in data analysis
(evaluating measurement data wi
th Python).
06/2018
Education
Johannes Gutenberg
University Mainz
B.Sc. Physics
Minor: Computer Science
Thesis: „
Neural network imple
mentation of a variational me
thod to determine solutions of the
Schrödinger equation
“ (Supervi
sor: Univ.-Prof. Dr. Marc Vander
haeghen)
04/2020 - 03/2026
IGS Gerhard Ertl,
Sprendlingen
High School Diploma (Ab
itur)
Focus: STEM
09/2011 - 03/2020
Languages
German
(native),
Portuguese
(native),
Eng
lish
(fluent).
Skills
Listed in descending order of proficiency
ML/Data Science
Python, Mathemati
ca, Matplotlib, Py
Torch, SQL, Torch
quad, NumPy
Backend/DevOps
Kotlin, PowerShell,
Docker, Grafana
Web Development
TypeScript, Astro
Technical Skills
Hardware Diagno
stics (WMI), Solde
ring, Circuit Design
Filipe Ramalho - Physics stu
dent with ML focus
Berliner Str. 29, 55131 Mainz, Germany
filiperamalho.de
|
privat@filiperamalho.de
|
+49
176 22095047
github.com/FilipeRamalho
|
linkedin.com/in/
fmdsr/
Profil
My research work currently involves implementing
neural networks
(Py
Torch) to solve physical problems. I generally take a
data-driven approach
(Python, Mathematica) in my work and enjoy working in interdisciplinary
teams. I place great importance on
clear documentation
and the
repro
ducibility
of my results (Docker, CI/CD). In my spare time, I experiment
with
modern software development
(TypeScript, Kotlin) to expand my
skills in clean code design and user-friendly interfaces.
Experience
Working Student
(
Berufsgenossenschaft Holz und Metall
)
•
Migrated 2,000+ servers from MS SCOM to PRTG.
•
Connection of Grafana to PRTG via an SQL interface.
•
Developed custom PRTG sensors using PowerShell.
•
Supervised trainees.
since 11/2023
Research Assistant
(
ZDV Mainz
)
•
Performed routine hardware maintenance.
•
Ported websites to modern JavaScript frameworks.
•
Developed Python scripts for HPC operations.
09/2021 - 10/2023
Internship
(
Institute for Nuclear Physics, Mainz
)
•
Designed and soldered circuits for experiments.
•
Sparked interest in data analysis (evaluating measurement data
with Python).
06/2018
Education
Johannes Gutenberg University Mainz
B.Sc. Physics
Minor: Computer Science
Thesis: „
Neural network implementation of a variational method to deter
mine solutions of the Schrödinger equation
“ (Supervisor: Univ.-Prof. Dr.
Marc Vanderhaeghen)
04/2020 - 03/2026
IGS Gerhard Ertl, Sprendlingen
High School Diploma (Abitur)
Focus: STEM
09/2011 - 03/2020
Languages
German
(native),
Portuguese
(native),
English
(fluent).
Skills
Listed in descending order of proficiency
ML/Data Science
Python, Mathematica, Matplotlib, PyTorch, SQL,
Torchquad, NumPy
Backend/DevOps
Kotlin, PowerShell, Docker, Grafana
Web Development
TypeScript, Astro
Technical Skills
Hardware Diagnostics (WMI), Soldering, Circuit De
sign
Filipe Ramalho - Physics student with ML focus
Berliner Str. 29, 55131 Mainz, Germany
filiperamalho.de
|
privat@filiperamalho.de
|
+49 176 22095047
github.com/FilipeRamalho
|
linkedin.com/in/fmdsr/
Profil
My research work currently involves implementing
neural networks
(PyTorch) to solve
physical problems. I generally take a
data-driven approach
(Python, Mathematica) in
my work and enjoy working in interdisciplinary teams. I place great importance on
clear
documentation
and the
reproducibility
of my results (Docker, CI/CD). In my spare time, I experiment with
modern software development
(TypeScript, Kotlin) to expand my skills in clean code design and user-friendly
interfaces.
Experience
Working Student
(
Berufsgenossenschaft Holz und Metall
)
•
Migrated 2,000+ servers from MS SCOM to PRTG.
•
Connection of Grafana to PRTG via an SQL interface.
•
Developed custom PRTG sensors using PowerShell.
•
Supervised trainees.
since 11/2023
Research Assistant
(
ZDV Mainz
)
•
Performed routine hardware maintenance.
•
Ported websites to modern JavaScript frameworks.
•
Developed Python scripts for HPC operations.
09/2021 - 10/2023
Internship
(
Institute for Nuclear Physics, Mainz
)
•
Designed and soldered circuits for experiments.
•
Sparked interest in data analysis (evaluating measurement data with Python).
06/2018
Education
Johannes Gutenberg University Mainz
B.Sc. Physics
Minor: Computer Science
Thesis: „
Neural network implementation of a variational method to determine solutions of the Schrödinger equation
“ (Su
pervisor: Univ.-Prof. Dr. Marc Vanderhaeghen)
04/2020 - 03/2026
IGS Gerhard Ertl, Sprendlingen
High School Diploma (Abitur)
Focus: STEM
09/2011 - 03/2020
Languages
German
(native),
Portuguese
(native),
English
(fluent).
Skills
Listed in descending order of proficiency
ML/Data Science
Python, Mathematica, Matplotlib, PyTorch, SQL, Torchquad, NumPy
Backend/DevOps
Kotlin, PowerShell, Docker, Grafana
Web Development
TypeScript, Astro
Technical Skills
Hardware Diagnostics (WMI), Soldering, Circuit Design