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.
Portfolio
Experience
- Python - 8 years
- Deep Learning - 5 years
- PyTorch - 5 years
- OpenCV - 5 years
- Artificial Intelligence (AI) - 5 years
- Machine Learning - 5 years
- Computer Vision - 5 years
- APIs - 4 years
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
Parkdepot
- 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.
Deep Learning and Computer Vision Engineer
Parkdepot
- 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.
Research Assistant
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.
Software Engineer
Savana
- 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.
Data Science Analyst
Accenture
- 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.
Experience
Neuronhub Blog Platform
https://www.neuronhub.org/Education
Master's Degree in Artificial Intelligence
Eötvös Loránd University - Budapest, Hungary
Master's Degree in Artificial Intelligence
Aalto University - Helsinki, Finland
Bachelor’s Degree (Erasmus) in Software Engineering
The Philipp University of Marburg - Marburg, Germany
Bachelor's Degree in Software Engineering
Complutense University of Madrid - Madrid, Spain
Certifications
IBM Certified Application Developer – Watson V3 Certification
IBM
Skills
Libraries/APIs
PyTorch, OpenCV, Pandas, TensorFlow, PySpark, Blender Scripting API, React, Python API, OpenAI Assistants API
Tools
PyCharm, GitHub, You Only Look Once (YOLO), Jupyter, Git, Open Neural Network Exchange (ONNX), AWS Command Line Interface (CLI), Amazon SageMaker, ZenHub, IBM Watson, OpenAI Gym, Jenkins, Blender, Amazon Elastic Container Registry (ECR), Google Analytics, Jira, Azure OpenAI Service
Languages
Python, Bash, SQL, C++, R, Scala
Frameworks
Flask, Spark, Hadoop, Django, Swagger
Paradigms
Agile, Jamstack, ETL, Test-driven Development (TDD), Scrum, Agile Project Management, Clean Code, KISS, DRY
Platforms
MacOS, Jupyter Notebook, Amazon Web Services (AWS), Docker, Netlify, NVIDIA CUDA, Weights & Biases, Azure
Storage
Databases, PostgreSQL, Amazon S3 (AWS S3), Apache Hive, ClickHouse, MongoDB, MySQL
Other
Artificial Intelligence (AI), Computer Vision, Deep Learning, Convolutional Neural Networks (CNNs), APIs, Machine Learning, Natural Language Classifiers, Conversational Agent, Image Analysis, Software Engineering, Operating Systems, Algorithms, Data Science, Neural Networks, NVIDIA TensorRT, Machine Learning Operations (MLOps), Leadership, Communication, OpenAI, Computer Vision Algorithms, Generative Artificial Intelligence (GenAI), 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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