Manuel Martín

Manuel Martín Email and Phone Number

Engineering Manager | AI & Data Science @ Busuu
london, england, united kingdom
Manuel Martín's Location
Madrid, Community of Madrid, Spain, Spain
About Manuel Martín

Leading AI teams to drive impact

Manuel Martín's Current Company Details
Busuu

Busuu

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Engineering Manager | AI & Data Science
london, england, united kingdom
Website:
busuu.com
Employees:
168
Manuel Martín Work Experience Details
  • Busuu
    Engineering Manager - Ai & Data Science
    Busuu Sep 2022 - Present
  • Busuu
    Senior Machine Learning Engineer
    Busuu Jun 2021 - Mar 2023
    Madrid, Comunidad De Madrid, España
    ▣ Senior ML Engineer at Brain Squad. This squad is focused on enhancing the user's language learning process through personalization, improved efficiency and automatic content generation.▣ Lead the MLOps strategy of the company and set up an end-to-end ML platform and stack for experimentation, training, deployment and monitor ML systems.▣ Designed production architectures for ML systems using DynamoDB, Redis, FastAPI, ECR And Github Actions.▣ Developed and deployed models and algorithms based on spaced repetition, items rating, item response theory, grammatical error correction and natural language processing.
  • Mlops Community
    Community Organizer
    Mlops Community Jan 2023 - Present
    Madrid, España
    ▣ Founding member of the MLOps Community local chapter in Madrid▣ Successfully spearheaded multiple events aimed at fostering knowledge sharing and collaboration within the field of ML, MLOps and AI.▣ Responsible for event planning and management, speaker engagement, community building and social media management
  • Bbva Next Technologies
    Machine Learning Engineer | Data Engineer
    Bbva Next Technologies Sep 2019 - Jun 2021
    Madrid Y Alrededores, España
    ▣ Member of the Customer Relationship Model Program in BBVA AI Factory. This team is focused on the enhancement of financial manager’s capabilities and optimization of their time by means of Natural Language Processing techniques, Automatic Conversational models and customer’s Text Classification.▣ Member of the Machine Learning Engineering Chapter within AI Factory, aimed to develop data transformation pipelines, enhance BBVA data platform, enforce high quality code standards, drive the MLOps strategy, build ML models and set up the infrastructure to monitor them.▣ Member of BBVA Next Data Tribe, collaborating on tasks such as working on open source tools benchmarks and analysis from the Linux Foundation, spreading NLP knowledge, providing advisory to project proposals and support to internal HR activities.▣ Responsible for the development and engineering features related to ETLs, ML pipelines, reproducible experimentation, production releases, platform enhancements, managing CI/CD pipelines and building NLP libraries.▣ Currently working on a Financial Text Classification model released within BBVA Hybrid Cloud (Ether) as an online inference service. Deployed to the whole network of BBVA's financial managers within Spain. ▣ Technical expertise mainly built upon Python, Spark/PySpark, Tensorflow, Pytorch, Scikit-Learn, AWS, Go, Spacy, Huggingface Transformers, HDFS, Flask, Docker, Kafka, Kubernetes, Jenkins and Ether among other internal tools.
  • Ey
    Software Engineer (Ml)
    Ey Jul 2017 - Sep 2019
    Madrid Y Alrededores, España
    ▣ Member of the Data tribe focused on extracting business value from data platforms.▣ Participant in AI innovation lab: RL-based commodities investment robot-trader research.▣ Spanish telecommunications company: Development of a real-time machine learning-based e-mail classification system deployed as a REST API for automatic resolution of clients requests connected to customer’s internal CRM. Data ETL developed through MongoDB “Change Streams”. Continuous integration implemented with GitLab and Jenkins.▣ Swedish pharmaceutical company: Engineering and development of a document scanner tool for receipts and invoices automated information extraction. Document processing pipeline developed as a Redis-integrated set of Dockerized micro-services within Azure platform using Azure Blob Storage for persisting unstructured data. CI/CD with Azure DevOps.▣ Spanish EY HR: Development and promotion of a CV information extraction application. Developed candidate scoring model which went through a black-box anti-bias testing for dropping non-ethical features. Application developed web interface allowing to ingest CV’s and returning candidate main information and score.▣ UK investment firm: Engineering of a Hadoop-based Data Lake. Development of Spark ETL's and SQL data dictionary and catalog.▣ Others: Design of automation operations center of excellence for Japanese reinsurance firm. Developed a IFRS data reconciliation tool for EY Switzerland.
  • Airbus Group Inc.
    Data Analyst
    Airbus Group Inc. Nov 2016 - Aug 2017
    Getafe, Madrid, España
    ▣ Intern at the International Supply Chain Management team. Member of the Performance Improvement team initiatives.▣ Analysis of inventories, stores and warehouse physical aircraft parts data.▣ Optimization of Airbus A380 replacement parts purchasing and retrofit planning. ▣ Built dashboards to assess stock rotation cycles, KPI’s for on-time parts purchasing, deliveries efficiency, etc.▣ Development of automation tools to extract and analyze data from SAP.▣ Promotion of RPA initiative within Spanish supply chain network. Assessment of potential business processes to automate. Coordinator for external RPA provider sessions and consulting approaches.

Manuel Martín Skills

Matlab Solidworks Ansys Microsoft Excel Latex Microsoft Word Microsoft Project Labview

Manuel Martín Education Details

Frequently Asked Questions about Manuel Martín

What company does Manuel Martín work for?

Manuel Martín works for Busuu

What is Manuel Martín's role at the current company?

Manuel Martín's current role is Engineering Manager | AI & Data Science.

What schools did Manuel Martín attend?

Manuel Martín attended Universitat Rovira I Virgili, Udacity, Udacity, Ciff Business School, Universidad De Castilla-La Mancha.

What skills is Manuel Martín known for?

Manuel Martín has skills like Matlab, Solidworks, Ansys, Microsoft Excel, Latex, Microsoft Word, Microsoft Project, Labview.

Who are Manuel Martín's colleagues?

Manuel Martín's colleagues are Nina Botha, Jacob Michael, Lynn Willey, Corinna Aceto, Khant Min Htin, Alvaro Sobrini, Emilia Wanat.

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