Ristea Nicolae-Catalin

ABOUT ME

Data Scientist@Microsoft and Teaching Assistant@UPB

I am a data scientist at Microsoft with a PhD from University Politehnica of Bucharest, specialized in Machine Learning and Signal Processing. I enjoy machine learning projects and I have been working as a data scientist in multiple companies by now. Due to the nature of my past research/work I have experience in several popular languages and technologies for data science, i.e. Python, MATLAB, PyTorch, Tensorflow.
I teach Machine Learning and Signal Processing Theory at University Politehnica of Bucharest for 3 years, where I guided several students for personal projects.

I have over 6 years of experience in coding. I love mathematics since collage, when I won multiple Olympiads and contests. Moreover, I have a pure passion about machine learning and algorithm.

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Joined April 2022

EXPERTISE

Data Science

4 years experience

Research Scipy NumPy TensorFlow PyTorch Python

Machine Learning

5 years experience | 8 endorsements

NumPy Scipy TensorFlow

NumPy Scipy TensorFlow PyTorch Python

Signal Processing

4 years experience

TensorFlow PyTorch Scipy

TensorFlow PyTorch Scipy MATLAB Data Science Python

Python

5 years experience | 19 endorsements

I have been using Python heavily in my research as it is becoming the language of science. Particularly, in my research in Deep Learning,...

I have been using Python heavily in my research as it is becoming the language of science. Particularly, in my research in Deep Learning, this language is extremely popular.

GitProgrammingPython

GitProgrammingPython Deep Learning NumPy PyTorch TensorFlow

Computer Vision

3 years experience

Deep Learning NumPy OpenCV

Deep Learning NumPy OpenCV PyTorch TensorFlow Python

SOCIAL PRESENCE

GitHub

sspcab

Python

cycle-transformer

Python

EMPLOYMENTS

Machine Learning Scientist

Microsoft

2021-11-01-Present

I work to develop the latest models for deep echo cancellation for Teams.

Python

Machine Learning

Python

Machine Learning

Mathematics

Deep Learning

PyTorch

Data Scientist

Veridium

2019-05-01-2021-10-01

I brought contributions to a handling biometric approach based on Machine Learning models. I used handcrafted feature combined with deep ...

I brought contributions to a handling biometric approach based on Machine Learning models. I used handcrafted feature combined with deep features from neural models in order to attain the best possible results.

Python

Git

Machine Learning

Python

Git

Machine Learning

Cassandra

Signal Processing

Docker

Kubernetes

Deep Learning

TensorFlow

PyTorch

Machine Learning R&D

Xperi

2018-06-01-2019-07-01

I developed a CNN model for in-cabin emotion monitoring system for automotive industry. Moreover, I worked with several GAN architectures...

I developed a CNN model for in-cabin emotion monitoring system for automotive industry. Moreover, I worked with several GAN architectures (Cycle-GAN, WGAN, GAN, SimGAN) in order to perform style transfer for expanding automotive data sets.

Python

Git

Linux

Python

Git

Linux

Image Processing

Machine Learning

Deep Learning

PROJECTS

Complex Neural Networks for Earthquake Source and Magnitude EstimationView Project

2021

In this project, I proposed a novel approach for estimating epicentral distance, depth, and magnitude directly from individual raw 3-comp...

In this project, I proposed a novel approach for estimating epicentral distance, depth, and magnitude directly from individual raw 3-component seismograms of 1-minute length observed by single stations. The proposed convolutional neural network-based method is able to handle complex-valued representations of the seismic data in the time-frequency domain by using dedicated convolutional and activation functions. The validation experiments were conducted over a publicly available and large database, STanford EArthquake Dataset (STEAD). This is part of a research paper published at IEEE Geoscience and Remote Sensing Letters, a top-tier journal in the geoscience domain.

Python

Git

Signal Processing

Python

Git

Signal Processing

Deep Learning

PyTorch

Deep Learning Data Set Generator for Automotive Radar InterferenceView Project

University Politehnica of Bucharest

2021

A data set generator for radar interference mitigation. This is a solution to the lack of publicly available data sets. I proposed a solu...

A data set generator for radar interference mitigation. This is a solution to the lack of publicly available data sets. I proposed a solution based on MATLAB and Python, which generates a custom number of data samples, which mimic real radar data. This project could be used to train deep learning models as well as classical algorithms. This is part of two research papers that were published at VTC-Fall 2020 and CVPR Workshop 2021.

Python

Signal Processing

Deep Learning

Python

Signal Processing

Deep Learning