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Servando Torres

Machine Learning Engineer
  • Tarifa aproximada
    400 € /día
  • Experiencia3-7 años
  • Tasa de respuesta100%
  • Tiempo de respuesta1h
El proyecto se dará por comenzado una vez hayas aceptado el presupuesto de Servando.
Localización y desplazamiento
Localización
Barcelona, CT, España
Trabajo a distancia
Lleva a cabo sus proyectos principalmente en remoto
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Conjunto de habilidades profesionales (9)
Servando en pocas palabras
Problems I solve
You are sure there is potential for ML/AI use cases within your business model but are not sure where to start
You are overwhelmed by tools & frameworks in the ML space.
Measuring ROI, time spent, and business impact of any ML/AI initiative is hard.
You want to invest in outside help before considering hiring full-time resources

Highly skilled in:
Forecasting, Price Optimization, Recommender Systems, Multi-Agents

Experiencia
  • controlthrive
    Independent ML Engineer
    HIGH TECH
    septiembre de 2023 - Hoy (1 año y 3 meses)
    Barcelona, España
    Strategic AI/ML Implementation Specialist helping businesses transform their AI potential into measurable results.
    I guide organizations through their AI journey, specializing in:

    Identifying and implementing high-impact ML/AI use cases for your specific business needs
    Navigating and selecting the right tools from the complex AI/ML landscape
    Building ROI-focused AI solutions with clear business impact measurement
    Providing expert guidance as an alternative to immediate full-time hires

    Ideal for businesses that recognize AI's potential but need strategic direction and implementation expertise. I bridge the gap between AI possibilities and practical business outcomes, helping you make informed decisions about your AI investments.
  • Relu
    Head of Data
    mayo de 2023 - Hoy (1 año y 7 meses)
    Barcelona, España
    I'm leading the AI initiatives of an early-stage startup.
    Tech stack:
    Metaflow, OpenAI, PyTorch.
    Lead AI application developer
  • Fintonic
    Senior Data Scientist
    octubre de 2022 - febrero de 2023 (4 meses)
    Barcelona, Spain
    Tasks/Achievments Collaborated with stakeholders from Product, UX, Risk, and Business teams to leverage machine learning, enhancing their decision-making process. Conducted comprehensive statistical analysis to identify cost-saving use cases, and enhance the user experience. Presented these findings to relevant stakeholders. Streamlined the MLOps practice by incorporating performance and metrics tracking methodologies. This has resulted in eficient model monitoring and management, driving better business outcomes. Tech stack: Kubernetes, AWS, Xgboost, MongoDB, Git, MLflow.
Recomendaciones externas
Formación
  • Master of Science
    Universidad de Zaragoza
    2016
    Master's Degree in Data Science
  • Bachelor's Degree in Trade and Economics
    UniversidadPopularAutonomadePuebla
    2014
    Bachelor's Degree in Trade and Economics