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Machine Learning Engineer

offline
  • auf Anfrage
  • 061074 Bucharest
  • Weltweit
  • ro  |  en
  • 23.10.2024
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Kurzvorstellung

Passionate, responsible, and committed research engineer, with a get-it-done, on-time spirit, and more than 7 years of experience in deploying Machine Learning and Deep Learning models into production.

Qualifikationen

  • Apache Kafka
  • C++3 J.
  • Computer Vision6 J.
  • Data Science6 J.
  • Datenanalyse3 J.
  • Docker5 J.
  • Git
  • Maschinelles Lernen7 J.
  • Microsoft Azure3 J.
  • Python7 J.
  • Pytorch7 J.
  • Radar4 J.
  • Signalverarbeitung4 J.
  • Tensorflow6 J.

Projekt‐ & Berufserfahrung

Senior Machine Learning Scientist (Festanstellung)
Microsoft, Bucharest
11/2021 – offen (3 Jahre, 2 Monate)
Telekommunikation
Tätigkeitszeitraum

11/2021 – offen

Tätigkeitsbeschreibung

I worked on the Teams audio quality. I was responsible of developing and shipping models for millions of customers.

Eingesetzte Qualifikationen

C++, Data Science, Datenanalyse, Docker, Maschinelles Lernen, Microsoft Azure, Python, Pytorch

Research Assistant (Festanstellung)
University Politehnica of Bucharest, Bucharest
9/2019 – 12/2023 (4 Jahre, 4 Monate)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

9/2019 – 12/2023

Tätigkeitsbeschreibung

Published several research papers at top-tier conferences and journals.
Taught signal processing theory applications to bachelor's degree students.
Conducted a team of students in research projects for publications.
Research projects on automotive radar interference mitigation via deep learning.

Eingesetzte Qualifikationen

Computer Vision, Data Science, Maschinelles Lernen, Python, Pytorch, Radar, Signalverarbeitung, Tensorflow

Data scientist (Festanstellung)
Veridium, Bucharest
6/2019 – 10/2021 (2 Jahre, 5 Monate)
IT & Entwicklung
Tätigkeitszeitraum

6/2019 – 10/2021

Tätigkeitsbeschreibung

Brought contributions to a handling biometric approach based on machine learning.
Used handcrafted features (e.g. HOG) combined with features from neural models (CNNs) in order to develop a robust biometric model.
Developed production pipelines for model productization.

Eingesetzte Qualifikationen

Data Science, Docker, Kubernetes, Maschinelles Lernen, Python, Pytorch, Tensorflow

Machine Learning R&D (Festanstellung)
Xperi Coorporation, Bucharest
6/2018 – 6/2019 (1 Jahr, 1 Monat)
Automobilindustrie
Tätigkeitszeitraum

6/2018 – 6/2019

Tätigkeitsbeschreibung

Contributed to the development of a convolutional neural network (CNN) model for an in-cabin emotion monitoring system for the automotive industry. The solution was presented at CES.
Implemented several generative adversarial networks (GANs) architectures (Cycle-GAN, WGAN, GAN, and SimGAN) in order to perform style transfer for expanding limited data sets.
Developed an embedded data acquisition system that was used to extend data sets by other teams.

Eingesetzte Qualifikationen

Computer Vision, Faltendes Neuronales Netzwerk (CNN), Maschinelles Lernen, Mathematik, Python, Pytorch, Tensorflow

Research Assistant
Mohamed bin Zayed University of Artificial Intelli, Abu Dhabi
10/2017 – 9/2018 (1 Jahr)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

10/2017 – 9/2018

Tätigkeitsbeschreibung

Published several research papers at top-tier conferences and journals.

Eingesetzte Qualifikationen

Computer Vision, Data Science, Maschinelles Lernen, Python, Pytorch, Tensorflow

C++ Developer (Festanstellung)
PhilroVision, Bucharest
6/2017 – 10/2017 (5 Monate)
IT & Entwicklung
Tätigkeitszeitraum

6/2017 – 10/2017

Tätigkeitsbeschreibung

Developed projects for media monitoring (RTSP and H264) with algorithms for 2D image recognition (ORB, SURF, and BRISK).
Developed a C++ application for automated data extraction from identity cards.
Developed an OCR system for training license plate recognition. I used classical graph algorithms combined with computer vision methods.

Eingesetzte Qualifikationen

C++, Computer Vision, Git, Opencv, Python, Pytorch

Weitere Projekt‐ & Berufserfahrung anzeigen

Ausbildung

PhD Machine Learning
University Politehnica of Bucharest
2023
Bucharest
MsC Machine Learning and Signal Processing
University Politehnica of Bucharest
2021
Bucharest
Machine Learning and Image Processing
University Politehnica of Bucharest
2019
Bucharest

Über mich

I am a data scientist 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 was an Associate Professor of Machine Learning and Signal Processing Theory at University Politehnica of Bucharest for 4 years, where I guided several students for personal projects.

I have over 7 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.

Weitere Kenntnisse

Deep Learning, Machine Learning, Signal processing, Computer Vision, NLP, LLM, Python, PyTorch, Tensorflow, Docker, Cassandra, Kubernetes, MLFlow, Weights&Biases, DVC

Persönliche Daten

Sprache
  • Rumänisch (Muttersprache)
  • Englisch (Fließend)
Reisebereitschaft
Weltweit
Arbeitserlaubnis
  • Europäische Union
Home-Office
bevorzugt
Profilaufrufe
796
Alter
28
Berufserfahrung
7 Jahre und 6 Monate (seit 06/2017)
Projektleitung
2 Jahre

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