Edwin Carreño

is researching.

Abschluss: Master of Science, Technische Universität Ilmenau

Über mich

Diligent Electronics Engineer with three years of experience in Data Engineering, Data analytics, and Project Management. Additionally, during my Master’s program in Computer and Systems Engineering, I have acquired knowledge in Software & Systems Engineering, Artificial Intelligence (Machine Learning and Deep Learning), Software Architecture (including topics such as Functional Safety IEC 61508), and Embedded Systems in C/C++. As an engineer, I am eager to apply the acquired knowledge and contribute to applied research. During my experience in industry and academia, I realized that I want to build and pursue a career in the field of Artificial Intelligence, specifically in Machine Learning. I am one the few persons who actually can say that have applied everything that I have studied at University (bachelor's and Master's). It makes me a strong candidate to be part of companies that truly believe that innovation comes hand-in-hand with science and hard work.

Fähigkeiten und Kenntnisse

Computer Science
Research and Development
Embedded Systems
Computer Vision
Software Development
Python programming
C/C++
MatLab/Simulink
Bash (Unix shell)
AWK
SQL
TensorFlow
Keras
NumPy
SciPy
scikit-learn
Matplotlib
Pandas
Linux
Docker
Git
GitHub
Windows
Microsoft Office
Open-minded
Communication
Adaptability
Openess to criticism
Critical thinking
Positive mindset
Innovative
Leadership
Entrepreneurship
Flexibility
Artificial intelligence
Machine Learning
Deep Learning
IT affinity
Deep learning

Werdegang

Berufserfahrung von Edwin Carreño

  • Bis heute 8 Monate, seit Okt. 2023

    Scientific Assistant

    Technische Universität Ilmenau

    - Supports and contributes to scientific research in the area of Deep Learning and Systems Optimization. - Contribute to writing research proposals to the DFG (Deutsche Forschungsgemeinschaft).

  • 1 Jahr und 9 Monate, Feb. 2022 - Okt. 2023

    Scientific Assistant

    Technische Universität Ilmenau

    - Developed software/algorithms for Deep Learning and Computer Vision tasks i.e. image classification, object detection, and instance segmentation to determine water quality in Germany. - Performed data engineering activities such as cleansing, extracting, loading, and transforming images and text using Python custom scripts.

  • 1 Jahr und 11 Monate, Feb. 2019 - Dez. 2020

    Data Engineer II

    Davivienda

    - Managed and led the production's deployment of Cloudera Kafka Distribution (On-premises and multi-cloud) as a new near real-time stream-processing component in the bank. - Participated in production deployments on Microsoft Azure, Amazon Web Services, and Google Cloud.

  • 1 Jahr und 1 Monat, Feb. 2018 - Feb. 2019

    Data Engineer I

    Davivienda

    - Minimized the time required to generate massive analytical reports for Daviplata (digital banking product), from one week to less than one day by implementing data engineering pipelines with Apache Spark. - Participated in production deployments on Microsoft Azure, Amazon Web Services, and Google Cloud. - Participated in the evaluation of new components to expand the data-centric ecosystem vision in the bank.

  • 8 Monate, Juli 2017 - Feb. 2018

    Engineering Trainee

    Davivienda

    - Designed and executed Proof of Concepts related to new-cutting-edge technologies such as Blockchain, Machine Learning, and drones as part of the bank's vision.

Ausbildung von Edwin Carreño

  • 1 Jahr und 11 Monate, Okt. 2021 - Aug. 2023

    Research in Computer and Systems Engineering

    Technische Universität Ilmenau

    Final overall grade: 1.5 ("Sehr Gut", German grade system). Thesis title: "Pedestrian Detection with Uncertainty Estimation based on Subjective Logic and Prospect Theory". Thesis grade: 1.0 (German grade system).

  • 7 Jahre und 8 Monate, Feb. 2009 - Sep. 2016

    Electronics Engineering

    Universidad Industrial de Santander

    Thesis title: "ASIC Implementation of a Data Compressor Based on Huffman Coding in 130nm Technology". Thesis grade: 1.0/1.0 (German grade system)

Sprachen

  • Spanisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Portugiesisch

    Grundlagen

Interessen

Artificial intelligence
Machine Learning
Computer Vision
Reading
Art
Travel
Music
Cooking
Age of Empires

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