About
M.Sc. in Big Data and Telecommunications Engineer passionated about AI, Cloud and Software Engineering. Currently working in CHEP as a Sr. ML Engineer. My areas of experience range from Data Science & AI models R&D 🤖, Cloud / Microservices architecture development ☁️ and general Software Engineering.
Senior Machine Learning Engineer
Main info:
- Bachelor of Engineering - Telecommunications
- Master of Science: Big Data Analytics
- Email: me@andrescarrillo.es
- City: Madrid, Spain
I also host and produce a Data Science Podcast in Spanish!
Feel free to check out Ciencia del Dato.
Technical skills
Given my educational and professional background, I have used a wide range of technologies surrounding the Software, Cloud, Data and Artificial Intelligence fields. I find myself confortable in the intersection between Data Science, Cloud and Software Engineering; having experience in building quality backend software, experimenting on training and evaluation of advanced Machine Learning and Deep Learning models, as well as deploying containerized ETL and models in the cloud and microservice architectures. Some of the programming languages, libraries and frameworks I have worked with are:
As a side note; I do also enjoy having personal projects where I learn about and experiment with infusing AI into Mobile applications (iOS/Android, Flutter) as well as developing VR/AR experiences for Oculus VR headsets using Unity.
Resume
Education
Master in Big Data Analytics & AI
2020 - 2021
Universidad Carlos III de Madrid.
Masters degree focused on Big Data and Data Science. From data engineering courses, to advanced data analytics and Machine Learning / Deep Learning models, as well as Business intelligence and advanced statistics. Wrote my Master thesis titled "Time-Series Forecasting using Transformers".
Engineering Exchange Scholarship
2018 - 2019
University of Maryland, USA
1 year exchange scholarship at the University of Maryland, College Park campus. Continued my studies of my telecommunications engineering degree in the Electrical and Computer Engineering (ECE) path. Data Science specialization.
Bachelor degree in Telecommunications Engineering
2016 - 2020
Universidad Carlos III de Madrid
Telecommunications Technologies Engineering degree, taught completely on English. During my last year of college I focused on Deep Learning models, IoT and wrote my Bachelor Thesis Project on Natural Language Processing.
Professional Experience
Senior Machine Learning Engineer
Feb'23 - Now
CHEP, Madrid
- Leading the architecture design, development, and deployment of ML & AI models in Cloud and Microservices environments.
- Deploying ML and Software pipelines following DevOps & MLOps best practices.
- Tech stack: Python, AWS (ECS, ECR, Fargate, EFS, S3, Sagemaker, CloudWatch ...), Databricks, Docker, Git Pipelines, ...
- Collaborating with international cross-functional teams to define tech. project requirements and deliver solutions.
- Mentoring and guiding other engineers, providing technical leadership on MLOps, and fostering collaboration.
Machine Learning Engineer
Dec'21 - Feb '23
Sngular, Madrid
- Development of AI Engineering & Data projects with a strong focus in Python and Cloud technologies.
- Building MLOps infrastructure for Data Scientists' research tracking and monitoring, ML/DL models deployment in containerized environments.
- Architecturing and Development of Computer Vision and Natural Language Processing projects.
- Fast development of Proof of Concepts and Business Use Cases involving AI and Cognitive solutions.
Cloud Microservices Developer
June'21 - Nov'21
IBM, Madrid
- Consultant in IBM. Cloud Microservices Architect and Cloud Application Developer. Certified in Azure Data Platform (DP-900 Certification).
Data Scientist - AI Engineer
Sept'20 - June'21
Universidad Carlos III, Evidence-Based Behavior (eB2), Madrid
- Research & Development Data Scientist
- Developed advanced user patterns behavior ML & DL models for eb2.tech, an AI Startup in the e-health industry.
R&D 5G Software Engineer Trainee
Jan'20 - Jul'20
ERICSSON, Madrid
- Trainee in DevOps and Microservices technologies (Docker, Kubernetes) in a fast-paced Agile environment.
- Also lead and developed a Natural Language Processing PoC.
Machine Learning Research Intern
Jun'19 - Oct'19
IMDEA Networks, Madrid
- Research student in Machine Learning and Deep Learning, working in an international research team.
- Performed R&D on hyperparameter search methods with multiobjective optimization. Neural Architectural Seach and Grammatical Evolution algorithms. Worked in Python using Keras, Tensorflow, Pandas, PonyGE2, SKlearn ...
Undergraduate Researcher Assistant
Nov'18 - Apr'19
Dept. of Oceanic and Atmospheric Sciences, U. of Maryland, USA
- Student assistant in the research group SENSE
- Data cleaning and analysis of meteorological sensor's outputs.
- Teaching Python and data analysis libraries to other students in the group.
Awards & Honours
Nova Talent Top 3% in Engineering
2020-2021
Nova Talent
Finalist Atmira Stock Prediction Challenge
December 2020
Cajamar University Hack Datathon
Academic Excellence Scholarship
2019
Comunidad de Madrid. UC3M
Awards & Honours
1st Place BeDigital Challenge - Data & Analytics
November 2019
AIRBUS
Engineering Academic Honors
2018
University of Maryland
Podcast
I am currently developing a Data Science Podcast in Spanish! My goal is to communicate machine learning concepts for a wide and non-technical audience, so that everyone can learn about this amazing world of Data Science. My podcast is available in most of the platforms: Spotify, Apple Podcasts and Google Podcasts.
Contact
You can reach me via my personal email as shown. If you wish to speak over phone, feel free to ask for it over mail first.
Area:
Madrid, Atocha (28007)
Email:
me@andrescarrillo.es
Call:
Upon email request