freiberufler Machine Learning & Deep Learning Engineer auf freelance.de

Machine Learning & Deep Learning Engineer

offline
  • 50€/Stunde
  • Berlin
  • National
  • fa  |  en  |  de
  • 01.11.2021

Kurzvorstellung

I am an accomplished professional with a PhD in Electrical Engineering and Computer Science. I am experienced data scientist who is proficient in building, testing and deploying AI models as well as maintaining the underlying AI.

Qualifikationen

  • C++
  • Deeplearning4j
  • Digitaler Signalprozessor (DSP)
  • Docker
  • Maschinelles Lernen
  • Python
  • Telekommunikation / Netzwerke (allg.)

Projekt‐ & Berufserfahrung

Data Scientist
Entefy, Palo Alto
8/2021 – 10/2021 (3 Monate)
IT & Entwicklung
Tätigkeitszeitraum

8/2021 – 10/2021

Tätigkeitsbeschreibung

Design end-to-end AI micro services and build machine learning models for predicting and forecasting cryptocurrency prices and implementing Optical character recognition (OCR) system for understanding text in documents.
● Development of model with Node.js and Docker.
● Time series analysis to understand the correlation in data.
● Implement Optical Character Recognition (OCR) and layout recognition
● Build unit test by using pytest for micro services

Eingesetzte Qualifikationen

Maschinelles Lernen

Wissenschaftlicher Mitarbeiterin
Kundenname anonymisiert, Berlin
12/2015 – 12/2020 (5 Jahre, 1 Monat)
Telekommunikation
Tätigkeitszeitraum

12/2015 – 12/2020

Tätigkeitsbeschreibung

Oversee various operations encompassing development of state-of-the-art image compression in low rate regime for autonomous driving. Utilise semantic segmentation and Generative Adversarial Network GAN to investigate image compression. Deploy linear, non-linear, and integrational optimisation tools to design cache-enabled wireless networks, create scalable caching, and schedule algorithms. Implement in-depth knowledge of stochastic geometry for network modelling and analysis. Steer various facets of mixed integer, linear, and parallel programming. Examine practical deployment of algorithms

Eingesetzte Qualifikationen

Computer Engineering

Zertifikate

School of Artificial Intelligence- PI school
2020

Ausbildung

Electrotechnik und Informatik
Doktorin Der Ingenieurwissenschaften
2020
Berlin

Über mich

Administer end-to-end functions involved in developing an AI platform to identify live song. Steer overall activities surrounding creation of live songs database. Build Convolutional neural network (CNN) to generate song embeddings. Utilise Principal Component Analysis (PCA) and k-NN to uncover queried songs embeddings. Draft accurate and on time reports for stake holders. Assembled and created own data set
● Proficient in leveraging PyTorch, Docker, SQL, Git, and clean coding practices.
● Devised and deployed scalable automatic live song detection system with 88% accuracy.

Weitere Kenntnisse

Machine Learning fellow

Persönliche Daten

Sprache
  • Persisch (Muttersprache)
  • Deutsch (Gut)
  • Englisch (Fließend)
Reisebereitschaft
National
Arbeitserlaubnis
  • Europäische Union
Home-Office
bevorzugt
Profilaufrufe
929
Alter
35
Berufserfahrung
10 Jahre und 2 Monate (seit 09/2014)

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