Thomás Rodrigues Crespo
Kyoto
Summary
Adept at leveraging deep learning frameworks and robustness validation, I enhanced documentary script accuracy at Osaka University by fine-tuning AI models. Skilled in Python and interpersonal communication, I excel in dynamic environments, evidenced by my multifaceted roles across prestigious institutions. My work not only advances machine learning applications but also fosters collaborative innovation.
Overview
16
16
years of professional experience
Work History
Contract Machine Learning Engineer
Osaka University
12.2024 - 03.2025
- Project goal: obtain a documentary theater script 100% written by an LLM
- Duties: collect and pre-process data about documentary theater theory as well as about the situation of stray dogs and cats in Japan; fine-tune a pre-trained model; implement hallucination-free RAG (documentaries should be factual); implement LLM-as-a-judge to pre-select the best scripts; implementation on Amazon SageMaker
Part-time senior gastronomical tour guide
Arigato Travel
Kyoto
09.2019 - Current
- Skills: Time management, adaptability and flexibility, interpersonal communication, active listening
Research Assistant Intern
UFSCar
08.2015 - 12.2015
- I was assistant of Professor Maurício Fernandes Figueiredo.
- Surveyed, summarized and catalogued different artificial neural networks models according to their architecture, learning rules, and types.
- Reproduced the 2001 paper “The ‘echo state’ approach to analysing and training recurrent neural networks”, by Herbert Jaeger, and present all the results in weekly meetings.
- Skills: Scilab, recurrent neural networks, reservoir computing, linear algebra
Research intern
University of Toronto
Toronto
05.2013 - 08.2013
- Project title: Image processing and pattern recognition to analyze the behavior of the species C
- Elegans by video images
- Skills: Matlab, video and image processing toolboxes
- Science without Borders scholarship
Scientific Initiation
UFSCar
07.2011 - 03.2013
- Title: Study on the application of an external magnetic field on the Nernst potential of metal electrodes
- Supervisor: Ernesto Chaves Pereira de Souza
- Scholarships granted by CNPq (September 2011 to March 2012) and FAPESP (April 2012 to March 2013)
Scientific Initiation
UNICAMP
10.2010 - 03.2011
- Project title: Thermodynamic modeling of curcumin-CO2-ethanol system phase equilibrium
- Supervisor: Losiane Cristina Paviani Diehl
- Scholarship granted by FAPESP (October 2010 to March 2011)
Lab technician
UNICAMP
02.2009 - 09.2010
- Duties: quantitative chemical analysis; design of experiments; staff training; purchases and inventory control; waste management
- Technical training grant by FAPESP
Education
Ph.D. - Machine Learning
Kyoto University
Japan09.2024
Master of Science - Machine Learning
Osaka University
Japan03.2019
Bachelor of Science - Engineering Physics
Federal University of São Carlos (UFSCar)
Brazil02.2016
Skills
- Machine learning
- Experience with Deep Learning frameworks (pytorch, tensorflow, chainer)
- Model evaluation
- Robustness validation and improvement
- Adversarial attacks
- Algorithm development
- Python
- Containerization with Docker
- Version control with git
- Scientific research support
Personal Information
- Age: 34
- Relocation: open to relocation
- Nationality: Brazilian
- Marital Status: married
Languages
Portuguese
First Language
English
Proficient (C2)
C2
Japanese
Intermediate (B1)
B1
References
References available upon request.
Timeline
Contract Machine Learning Engineer
Osaka University
12.2024 - 03.2025
Part-time senior gastronomical tour guide
Arigato Travel
09.2019 - Current
Research Assistant Intern
UFSCar
08.2015 - 12.2015
Research intern
University of Toronto
05.2013 - 08.2013
Scientific Initiation
UFSCar
07.2011 - 03.2013
Scientific Initiation
UNICAMP
10.2010 - 03.2011
Lab technician
UNICAMP
02.2009 - 09.2010
Ph.D. - Machine Learning
Kyoto University
Master of Science - Machine Learning
Osaka University
Bachelor of Science - Engineering Physics
Federal University of São Carlos (UFSCar)
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