Luis Bronchal
Verified Expert in Engineering
Machine Learning Developer
Logroño, Spain
Toptal member since June 9, 2020
Luis is skilled in software development, machine learning, and data engineering. He is proficient with the entire data process, from gathering to model deployment. He has set up several SaaS platforms, worked on R&D projects, delivered custom Facebook apps, and created a powerful and intuitive SaaS social media marketing platform.
Portfolio
Experience
- SQL - 10 years
- Python - 4 years
- Machine Learning - 4 years
- Data Science - 4 years
- Deep Learning - 3 years
- Spark - 3 years
- TensorFlow - 3 years
- Big Data - 2 years
Preferred Environment
Git, Linux, Spark, TensorFlow, Scikit-learn, Python
The most amazing...
...social CRM I built collected data from different social networks, providing companies with valuable insights about their customers.
Work Experience
Senior Data Engineer
Mews
- Developed a reliable and frictionless data platform to facilitate the ingestion of operational big data for analysis.
- Set up machine learning operations (MLOps) infrastructure to facilitate the evolution and deployment of machine learning models.
- Created and deployed various large language model (LLM) applications in production.
Machine Learning Engineer
Freelance
- Developed Python and PySpark libraries to improve a telecommunications company's big data machine learning models.
- Created machine learning NLP models for product classification.
- Constructed Python codebase refactoring, including tests and deployment on the Google Cloud Platform (GCP).
- Optimized a PySpark application for a loyalty program.
- Developed LTV and Uplift models for a telecommunications company.
Machine Learning Engineer
Trisocial Social Media
- Performed machine learning and data analysis of data obtained from Facebook, Twitter APIs, or scraped from the web.
- Analyzed marketing data and customer clustering to clarify focus.
- Developed ETLs and several data dashboards for clients.
CTO
Trisocial Social Media
- Designed, implemented, and managed a SaaS platform over AWS cloud to run social media contests on Facebook, Twitter, and Instagram.
- Designed and implemented a social media CRM platform.
- Developed Facebook apps for different business domains.
Head of Information Systems Department
Arsys Internet
- Managed the information systems department. Headed the process of billing and data reporting to the board.
- Supervised the ERP and CRM modification projects to completion.
- Coordinated with other departments such as the administration and sales department.
Head of Product Development Department
Arsys Internet
- Managed the product development department responsible for the continuous technical improvement of existing products and the development of new products, and the maintenance of the main technical systems.
- Managed the project design of new, shared, hosting control panels.
- Coordinated with other departments, such as the operations and security department.
Project Manager
Arsys Internet
- Analyzed, designed, and project managed the ISPD project; implementation of a dedicated hosting Linux server with a control panel.
- Analyzed, designed, and managed the CUBE project, inlcuding control panel software for windows and Linux servers.
- Coordinated the technical integration of the acquired company, Piensa Solutions.
Software Engineer
Arsys Internet
- Developed the first Linux hosting platform of the company.
- Managed the R&D in Linux systems development for shared hosting and adaptation of customer control panels.
- Designed and developed the Linux PostgreSQL service platform.
Experience
LTV and Uplift Models
Social Media Marketing Platform
Sentiment Analysis in Twitter
Social CRM
Design and Implementation of a Linux Shared Hosting Platform
Education
Master of Science Degree in Computer Science
Zaragoza University - Zaragoza, Spain
Certifications
Large Language Models: Foundation Models from the Ground Up
Databricks | via edX
Large Language Models: Application Through Production
Databricks | via edX
Data Engineering Nanodegree
Udacity
TensorFlow Specialization
Deeplearning.ai | via Coursera
Data Engineering on Google Cloud Platform Specialization
Google | via Coursera
Machine Learning Engineer
Udacity
Deep Learning Nanodegree
Udacity
Distributed Machine Learning with Apache Spark
Berkeley University | via edX
Data Science Specialization
Johns Hopkins University | via Coursera
Machine Learning
Stanford University | via Coursera
Skills
Libraries/APIs
TensorFlow, PySpark, Pandas, NumPy, Keras, Scikit-learn, Facebook API, X (formerly Twitter) API
Tools
Git, Apache Airflow, GitHub, Navision, Pytest, Celery, Apache, Azure OpenAI Service
Languages
Python, SQL, PHP, R, Perl, JavaScript, HTML, Python 3
Frameworks
Spark
Paradigms
Testing, Object-oriented Programming (OOP), Agile
Platforms
Jupyter Notebook, Amazon EC2, Docker, Amazon Web Services (AWS), Linux, Windows, Google Cloud Platform (GCP), Databricks, Azure, Apache Kafka
Storage
Relational Databases, Amazon S3 (AWS S3), MySQL, Google Cloud, Redshift, Microsoft SQL Server
Other
Machine Learning, Data Science, Artificial Intelligence (AI), Data Analysis, Software Development, Algorithms, Data Analytics, Back-end, Neural Networks, Amazon RDS, Clustering, Deep Learning, Web Scraping, Big Data, Natural Language Processing (NLP), Data Engineering, eCommerce, Text Classification, Data Modeling, Generative Pre-trained Transformers (GPT), MicroStrategy, Churn Analysis, SaaS, Dataproc, Large Language Models (LLMs), Open-source LLMs, Machine Learning Operations (MLOps), Data Build Tool (dbt), Software Design, Operating Systems, Big Data Architecture, OpenAI
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