Jesús Copado, Developer in Madrid, Spain
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Jesús Copado

Verified Expert  in Engineering

Software Engineer and Developer

Madrid, Spain
Toptal Member Since
February 23, 2024

Jesús is a software engineer with over seven years of experience in deep learning, computer vision, data science, and multiple technologies, including Python. With a bachelor's degree in software engineering and a double master's degree in autonomous systems, he combines academic excellence with diverse industry experience. Fluent in multiple languages and having lived in four countries, Jesús brings a unique global and dynamic perspective to any project presenting complex challenges.


Artificial Intelligence (AI), PyTorch, Machine Learning Operations (MLOps)...
Artificial Intelligence (AI), Open Neural Network Exchange (ONNX)...
Aalto University
PyTorch, Python, Artificial Intelligence (AI), Neural Networks, Blender...




Preferred Environment

MacOS, PyCharm, Python

The most amazing...

...project I've led involved the implementation of an MLOps platform at a German scale-up company, streamlining AI operations across the organization.

Work Experience

Deep Learning and Computer Vision Lead

2022 - 2024
  • Built and managed the machine learning operations (MLOps) platform, enhancing the efficiency and scalability of MLOps across the organization. I leveraged ZenML, Weights & Biases, Amazon SageMaker, and Amazon S3 (AWS S3).
  • Led team strategy and project management efforts, providing direct reports to management, aligning with company goals, and ensuring timely delivery of projects.
  • Contributed to and directed the development of artificial intelligence architectures for computer vision applications actively, fostering technical innovation and excellence.
  • Supervised junior engineers and students, providing guidance and mentorship.
Technologies: Artificial Intelligence (AI), PyTorch, Machine Learning Operations (MLOps), Amazon SageMaker, ZenHub, IT Project Management, Agile Project Management, Leadership, Communication, Deep Learning, Computer Vision, Weights & Biases, ZenML, Amazon S3 (AWS S3)

Deep Learning and Computer Vision Engineer

2021 - 2022
  • Developed deep learning models, including those for automatic license plate recognition and vehicle detection, integrating in-house innovations and advanced open-source technologies.
  • Orchestrated the entire lifecycle of deep learning projects, from data collection and preprocessing to model training and deployment, ensuring the creation of robust and scalable solutions.
  • Optimized code for real-time performance on low-capacity embedded systems using vectorization, quantization, and cutting-edge technologies like Open Neural Network Exchange (ONNX) and NVIDIA TensorRT.
  • Conducted technical interviews and assessed the coding skills of potential hires.
Technologies: Artificial Intelligence (AI), Open Neural Network Exchange (ONNX), NVIDIA TensorRT, TensorFlow, PyTorch, AWS CLI, Amazon S3 (AWS S3), Amazon SageMaker, ZenHub, Python, Amazon Elastic Container Registry (ECR), Machine Learning Operations (MLOps)

Research Assistant

2020 - 2020
Aalto University
  • Developed a PyTorch deep learning model capable of generating a top-view depth map of an object from its lateral views. This model was based on the Generative Query Network (GQN) from Google DeepMind.
  • Generated synthetic data and employed domain randomization techniques using Blender's Python API, enhancing model robustness and accuracy.
  • Contributed to Aalto University's intelligent robotics group, focusing on advancing robotics in real-world environments through cutting-edge AI research.
Technologies: PyTorch, Python, Artificial Intelligence (AI), Neural Networks, Blender, Blender Scripting API, Python API

Software Engineer

2019 - 2019
  • Developed successful back-end solutions using Python and Django, incorporating JavaScript for specific functionalities and committing to best software practices like Clean Code, KISS, and DRY.
  • Built and maintained RESTful APIs with Flask, ensuring thorough documentation via Swagger and following test-driven development methodologies.
  • Managed diverse databases, including PostgreSQL, MySQL, ClickHouse, and MongoDB, balancing relational and non-relational data needs. I leveraged AWS for cloud operations, Jenkins to streamline CI/CD processes, and Docker for containerization.
  • Leveraged Agile methodologies, specifically Scrum, and used Git for version control and Jira for project management tasks.
Technologies: ClickHouse, PostgreSQL, Python, Django, Software Engineering, Test-driven Development (TDD), Swagger, APIs, Flask, MongoDB, Amazon Web Services (AWS), Jenkins, Docker, CI/CD Pipelines, Agile, Scrum, Git, Clean Code, KISS, DRY, MySQL, Jira

Data Science Analyst

2017 - 2019
  • Began work on artificial intelligence and gained expertise through training in Scala, Spark, IBM Watson, TensorFlow, and quantum computation.
  • Contributed actively to an internal project focused on developing a natural language understanding (NLU) application, effectively applying advanced AI and machine learning techniques.
  • Built scalable and efficient ETL pipelines, leveraging Python, PySpark, Spark, Apache Hive, Hadoop, JupyterLab, pandas, and Bash scripting.
Technologies: Big Data, Big Data Architecture, IBM Watson, TensorFlow, Pandas, Bash, CI/CD Pipelines, Jenkins, Spark, PySpark, Hadoop, Apache Hive, Artificial Intelligence (AI), Jupyter, Jupyter Notebook, ETL, ETL Tools, Scala, Natural Language Understanding (NLU), Python, JupyterLab

Neuronhub Blog Platform
As the co-founder and Jamstack engineer at Neuronhub, I was instrumental in developing and deploying a Gatsby and React-based blog platform. My role encompassed leading Jamstack web development, hosting via Netlify with continuous deployment linked to GitHub, implementing Google Analytics, and executing SEO strategies. I also took the lead on digital marketing and communications, enhancing our online presence through social media and newsletters aimed at promoting global neuroscience knowledge.
2020 - 2021

Master's Degree in Artificial Intelligence

Eötvös Loránd University - Budapest, Hungary

2019 - 2020

Master's Degree in Artificial Intelligence

Aalto University - Helsinki, Finland

2016 - 2017

Bachelor’s Degree (Erasmus) in Software Engineering

The Philipp University of Marburg - Marburg, Germany

2013 - 2016

Bachelor's Degree in Software Engineering

Complutense University of Madrid - Madrid, Spain


IBM Certified Application Developer – Watson V3 Certification



PyTorch, OpenCV, Pandas, TensorFlow, PySpark, Blender Scripting API, React, Python API, OpenAI Assistants API


PyCharm, GitHub, You Only Look Once (YOLO), Jupyter, Git, Open Neural Network Exchange (ONNX), AWS CLI, Amazon SageMaker, ZenHub, IBM Watson, OpenAI Gym, Jenkins, Blender, Amazon Elastic Container Registry (ECR), Google Analytics, Jira, Azure OpenAI Service


Python, Bash, SQL, C++, R, Scala


Flask, Spark, Hadoop, Django, Swagger


Databases, PostgreSQL, Amazon S3 (AWS S3), Apache Hive, ClickHouse, MongoDB, MySQL


Data Science, Agile, Jamstack, ETL, Test-driven Development (TDD), Scrum, Agile Project Management, Clean Code, KISS, DRY


MacOS, Jupyter Notebook, Amazon Web Services (AWS), Docker, Netlify, NVIDIA CUDA, Weights & Biases, Azure


Artificial Intelligence (AI), Computer Vision, Deep Learning, Convolutional Neural Networks (CNN), APIs, Machine Learning, Natural Language Classifiers, Conversational Agent, Image Analysis, Software Engineering, Operating Systems, Algorithms, Neural Networks, NVIDIA TensorRT, Machine Learning Operations (MLOps), Leadership, Communication, OpenAI, Computer Vision Algorithms, Generative AI, Retrieval-augmented Generation (RAG), Robotics, Video Analysis, Sensor Fusion, Big Data, Graphics, Robot Operating System (ROS), Big Data Architecture, CI/CD Pipelines, ETL Tools, IT Project Management, Gatsby, ZenML, Natural Language Understanding (NLU), JupyterLab, Natural Language Processing (NLP), OpenAI GPT-3 API, OpenAI GPT-4 API, Large Language Models (LLMs), Open-source LLMs, Chatbots

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