Pedro Andrade
@pedroandrade1
AI/ML engineer specializing in Generative AI, NLP, RAG, and computer vision—turning business problems into models.
What I'm looking for
I’m an AI/ML Engineer with a multidisciplinary background and an ongoing Ph.D. in Software Engineering at CESAR School. My focus is Generative AI, NLP, and Computer Vision, with a strong drive to build practical systems from research.
In my current role at CESAR School (2025–Present), I conduct applied research and develop end-to-end solutions. I built and evaluated a multi-hop RAG pipeline using the MuSiQue benchmark, documenting retrieval, correctness, and faithfulness metrics.
I also prototype AI that automates real workflows—like EasyInvoiceAI, integrating image and PDF processing with Google Gemini to produce structured JSON output. On the computer vision side, I’ve designed a deforestation detection project using U-Net and performed a quantitative comparison between YOLOv8 (Roboflow) and Gemini Flash for facial emotion classification.
Across projects, I combine technical depth in Python and ML with clear communication and thorough technical documentation. I enjoy translating business problems into implementable models, experiments, and results that are reproducible and measurable.
Experience
Work history, roles, and key accomplishments
AI Researcher (PhD)
Cesar School
Jan 2025 - Present (1 year 3 months)
Conduct applied AI research in NLP and computer vision as part of a Ph.D. program, developing and evaluating a multi-hop RAG pipeline on the MuSiQue benchmark (100 queries) with documented retrieval, correctness, and faithfulness metrics. Built prototypes for invoice extraction (Google Gemini to structured JSON) and designed a U-Net deforestation detection approach using satellite imagery.
Education
Degrees, certifications, and relevant coursework
CESAR School
Doctor of Philosophy (Ph.D.), Software Engineering
2025 -
Grade: 9
Activities and societies: Research focused on Computer Vision and Deep Learning for deforestation detection in Brazilian biomes. The project aims to develop and evaluate CNN and Vision Transformer models to automatically identify and monitor deforestation patterns from satellite imagery, supporting environmental monitoring and decision-making.
Pursuing a Ph.D. in Software Engineering at CESAR School, with research emphasis on Generative AI, NLP, and Computer Vision.
Federal University of Pernambuco
Master of Arts, Design
2017 - 2019
Grade: 10
Activities and societies: Academic research
Earned an M.A. in Design from the Federal University of Pernambuco (UFPE).
Federal University of Rio de Janeiro (UFRJ)
Bachelor of Arts, Languages (Portuguese–Spanish)
2002 - 2007
Grade: 8
Activities and societies: Academic research
B.A. in Languages (Portuguese–Spanish) with emphasis on Linguistics, text analysis, and multilingual communication — foundational skills for Natural Language Processing (NLP) and cross-lingual AI applications.
Availability
Location
Authorized to work in
Social media
Job categories
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