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Victor MeloVM
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Victor Melo

@victormelo

Machine Learning Engineer at Vic.ai building models and consumer-facing applications with Python.

Brazil
Message

At Vic.ai, I work as a Sr Machine Learning Engineer, following an earlier role as a Machine Learning Engineer.

At Deeper Systems, I implemented machine learning algorithms for video and image recognition and developed web apps using Python, Flask, Keras, and OpenCV.

At Stefanini Brasil, I proposed and developed an approach using Fully Convolutional Networks for handwritten signature segmentation in complex documents. The results were published in a paper at ICFHR 2018.

My background combines data science and software engineering. I’ve designed, trained, and evaluated machine learning models, and my research includes automatic handwritten signature verification, pattern recognition, and computer vision.

Experience

Work history, roles, and key accomplishments

Vic.ai logoVI
Current

Sr Machine Learning Engineer

Aug 2022 - Present (4 years 2 months)

Worked as Sr Machine Learning Engineer at Vic.ai.

Vic.ai logoVI

Machine Learning Engineer

Nov 2020 - Aug 2022 (1 year 9 months)

Worked as Machine Learning Engineer at Vic.ai.

Deeper Systems logoDS

Data Scientist

Jan 2017 - Nov 2020 (3 years 10 months)

My responsibilities range from implemnenting machine learning algorithms for video/image recognition to developping webapps. The technology we mostly use is Python, Flask, Keras and OpenCV.

Stefanini Brasil logoSB

Research and Development Engineer

Jan 2017 - Dec 2017 (11 months)

One-year research internship at Document Solutions - a R&D Company. I proposed and developped an approach using Fully Convolutional Networks for the stroke level handwritten signature segmentation from complex documents. The results were published on a paper in ICFHR 2018: https://ieeexplore.ieee.org/document/8583818/

Education

Degrees, certifications, and relevant coursework

UP

Universidade de Pernambuco

Mestrado, Engenharia de Computação

2015 - 2017

– Research theme: Automatic Handwritten Signature Verification
– Main courses: Pattern Recognition, Computational Intelligence, Digital Image Processing and
Computer Vision.
– The results of my dissertation work were published in the journal IET: https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2018.5091

UP

Universidade Federal Rural de Pernambuco

Bacharelado em Sistemas de Informação, Information Technology

2011 - 2015

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