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Electrical Engineer & Researcher!

Hello, I'm Ilias, an experienced Machine Learning and Deep Learning Engineer with a strong background in computer vision, MLOps, and software engineering. As a machine learning engineer, I have a passion for developing intelligent systems that can learn and adapt to complex real-world challenges. With a background in both electrical engineering and computer science, I bring a unique perspective to my work that combines technical expertise with a deep understanding of machine learning algorithms and techniques.

Over the course of my career, I have worked on a variety of machine learning projects, ranging from image and video recognition to natural language processing and robotics. I am skilled in a variety of programming languages, including Python, C++ and Java and have extensive experience with deep learning frameworks such as PyTorch and TensorFlow. I am also well-versed in software engineering principles, including version control, unit testing and software design patterns.

In addition to my technical expertise, I am also committed to staying up-to-date with the latest developments in the field of machine learning. I have published several papers in scientific journals and am always eager to learn new techniques and approaches to solving complex problems.

If you're looking for a skilled and dedicated machine learning engineer to help tackle your next project, please don't hesitate to reach out!

CV


I work on .. πŸ’»

Programming Skills

  • Python
  • PyTorch, Tensorflow frameworks
  • C++/C

On the job .. πŸ’―

Research Assistant - Visual Computing Lab ⭐

Projects

Github stats

Thank you ! πŸ™

Thanks for reading about me. You can connect with me on :

linkedin iliasprc github iliasprc

Ilias Papastratis's Projects

covidnet icon covidnet

PyTorch implementation of COVID-Net https://github.com/lindawangg/COVID-Net

cvpr21chal-slr icon cvpr21chal-slr

This repo contains the code to reproduce our results on 2021 Looking at People Large Scale Signer Independent Isolated SLR CVPR Challenge.

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deepbrainseg icon deepbrainseg

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

differential-wheel-robot icon differential-wheel-robot

Programming a differential wheel robot equipped with STM32 Nucleo-64 development board with STM32F334R8 MCU , ultrasonic sensor and accelerometer

hyperdensenet icon hyperdensenet

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

imputer-pytorch icon imputer-pytorch

Implementation of Imputer: Sequence Modelling via Imputation and Dynamic Programming in PyTorch

mimic-code icon mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

ms-tcn2 icon ms-tcn2

MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020)

nslt icon nslt

Neural Sign Language Translation (CVPR'18)

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