Martín Nicolás Gramática

Martín Nicolás Gramática

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ABOUT ME
Computer Vision and Machine Learning engineer
Computer Vision and Machine Learning engineer

I am an Information Systems Engineer with more than 9 years of experience in software development and education. I finished a master’s degree in the UK in Computer Vision, Robotics and Machine Learning (MSc) with distinction. I have worked with many technologies so far, and I am always happy to learn and work in novel and challenging projects. I am willing to work with Machine Learning and Computer Vision.

I have a problem solving oriented profile, but I also like to deliver high quality software. I enjoy learning and keeping up to date with new technologies and industry challenges.

I am looking forward to working with you :)

Spanish, English
Buenos Aires (-03:00)
Joined January 2023
EXPERTISE
10 years experience
5 years experience
5 years experience
5 years experience
10 years experience

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EMPLOYMENTS
Computer Vision Engineer
Smart In Media AG
2020-07-01-Present

I lead the development in the AI team of the company. We mainly work with Computer Vision problems.

Responsible of maintaining a...

I lead the development in the AI team of the company. We mainly work with Computer Vision problems.

Responsible of maintaining and adding features to the LiveView software. This app is used to analyse and share microscope images in real time. Responsible of developing a microscope images stitching App using .NET and EmguCV (OpenCV wrapper for .NET). The software creates, in real time, a single image containing the full slide. Languages: C#; Frameworks: OpenCV (EmguCV); Repository: GIT;

Python
C#
OpenCV
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Python
C#
OpenCV
TensorFlow
PyTorch
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Computer Vision and ML Engineer
National Technological University of Cordoba
2012-01-01-Present

I work in different research projects as a Machine Learning / Computer Vision engineer.

Visual search: Visual search over...

I work in different research projects as a Machine Learning / Computer Vision engineer.

Visual search: Visual search over 3D objects using Autoencoders based on VGG-16 to choose the closest medical implant for a given new problem. Technologies: Tensorflow2, Python, Keras, Pandas, NumpySTL. 3D cGANs: Generate the best fit medical implant based on a given anatomy. Technologies: Tensorflow2, Python, Keras, Pandas, NumpySTL. Deep learning for Digital Pathology: Improve existing deep learning solutions to make them usable in the context of digital pathology. Technologies: Tensorflow2, Python, Keras

Python
OpenCV
TensorFlow
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Python
OpenCV
TensorFlow
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Software developer
Freelance Projects
2014-03-01-2020-03-01

On free times, I work as freelance developer, both, with customers or my own innovation projects. I have worked in many interesting pr...

On free times, I work as freelance developer, both, with customers or my own innovation projects. I have worked in many interesting projects so far. This methodology allows me to stay updated with the last trends and technologies. Languages: PHP; Python; C#; Frameworks: OpenCV; Django; Digits; TensorFlow/Keras; CakePHP Database: MySQL; PostgreSQL. Repository: GIT.

PHP
Python
Django
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PHP
Python
Django
MySQL
PostgreSQL
OpenCV
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PROJECTS
PatoUTN
UTN
2022
Deep Learning solution to detect normal tissue in pathology images
Deep Learning solution to detect normal tissue in pathology images
Python
TensorFlow
Python
TensorFlow