Luis Bronchal, Developer in Logroño, Spain
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Luis Bronchal

Verified Expert  in Engineering

Machine Learning Developer

Location
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

Mews
Databricks, Big Data, Machine Learning, Machine Learning Operations (MLOps)...
Freelance
PySpark, Python, Churn Analysis, Google Cloud Platform (GCP), Pytest...
Trisocial Social Media
Data Analysis, Machine Learning, R, Python, Linux, eCommerce, SaaS, Amazon EC2...

Experience

Availability

Part-time

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

2022 - PRESENT
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.
Technologies: Databricks, Big Data, Machine Learning, Machine Learning Operations (MLOps), Large Language Models (LLMs), Open-source LLMs, Azure, Data Build Tool (dbt), Apache Kafka, Python, Big Data Architecture, PySpark, OpenAI, Azure OpenAI Service

Machine Learning Engineer

2020 - PRESENT
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.
Technologies: PySpark, Python, Churn Analysis, Google Cloud Platform (GCP), Pytest, Machine Learning, Scikit-learn, Git, Data Science, Neural Networks, Artificial Intelligence (AI)

Machine Learning Engineer

2016 - 2020
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.
Technologies: Data Analysis, Machine Learning, R, Python, Linux, eCommerce, SaaS, Amazon EC2, Amazon S3 (AWS S3), SQL, Docker, Data Science, Neural Networks, Artificial Intelligence (AI)

CTO

2011 - 2016
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.
Technologies: Amazon Web Services (AWS), Twitter API, Facebook API, JavaScript, HTML, PHP, Linux, eCommerce, Amazon EC2, Amazon S3 (AWS S3), Docker, Amazon RDS

Head of Information Systems Department

2009 - 2010
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.
Technologies: MicroStrategy, Navision, Microsoft SQL Server, SQL

Head of Product Development Department

2005 - 2009
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.
Technologies: Microsoft SQL Server, MySQL, Perl, PHP, Windows, Linux

Project Manager

2002 - 2005
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.
Technologies: MySQL, PHP, Windows, Linux

Software Engineer

2001 - 2002
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.
Technologies: JavaScript, Perl, PHP, Linux, SQL

LTV and Uplift Models

I developed custom PySpark packages to build Uplift and LTV models for an international telecommunication company. I trained and evaluated models on their data with those tools, working on the cloud platform GCP.

Social Media Marketing Platform

I designed and built a SaaS social media marketing platform on Amazon Cloud. I had to investigate how to integrate the different social networks APIs such as Facebook and Twitter. The platform was used for clients all around the world.

Sentiment Analysis in Twitter

As a machine learning engineer, I built and evaluated different models to identify the sentiment associated with several brands on Twitter. I completed the whole pipeline, from data gathering to production deployment of the models.

Social CRM

I designed and led the development of a social customer relationship management (CRM) tool. I had to evaluate and choose the best data tools for the project, such as Spark and Redshift, and work on different SQL optimizations.

Design and Implementation of a Linux Shared Hosting Platform

I was the architect and the main system and web developer of the Linux Shared Hosting Platform of one of the biggest hosting companies in Spain. It was an intensive R+D job. Millions of people used this service.

Languages

Python, SQL, PHP, R, Perl, JavaScript, HTML, Python 3

Frameworks

Spark

Libraries/APIs

TensorFlow, PySpark, Pandas, NumPy, Keras, Scikit-learn, Facebook API, Twitter API

Tools

Git, Apache Airflow, GitHub, Navision, Pytest, Celery, Apache, Azure OpenAI Service

Paradigms

Data Science, 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, 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, GPT, 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

1994 - 2000

Master of Science Degree in Computer Science

Zaragoza University - Zaragoza, Spain

DECEMBER 2023 - PRESENT

Large Language Models: Foundation Models from the Ground Up

Databricks | via edX

OCTOBER 2023 - PRESENT

Large Language Models: Application Through Production

Databricks | via edX

FEBRUARY 2020 - PRESENT

Data Engineering Nanodegree

Udacity

SEPTEMBER 2019 - PRESENT

TensorFlow Specialization

Deeplearning.ai | via Coursera

AUGUST 2018 - PRESENT

Data Engineering on Google Cloud Platform Specialization

Google | via Coursera

SEPTEMBER 2017 - PRESENT

Machine Learning Engineer

Udacity

JULY 2017 - PRESENT

Deep Learning Nanodegree

Udacity

JULY 2016 - PRESENT

Distributed Machine Learning with Apache Spark

Berkeley University | via edX

APRIL 2016 - PRESENT

Data Science Specialization

Johns Hopkins University | via Coursera

APRIL 2016 - PRESENT

Machine Learning

Stanford University | via Coursera

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