Cristopher F.

Machine Learning Developer

Cristopher is a Machine Learning Developer with six years of commercial experience, specializing in the design and implementation of end-to-end ML pipelines.

He has worked in both the Brazilian and US markets across various industries, including education, manufacturing, and consultancy, utilizing techniques such as NLP, Computer Vision, and time series forecasting.

Cristopher has extensive experience in designing and implementing ML pipelines, covering everything from data collection and preprocessing to model training, evaluation, and deployment into production. He is well-versed in optimizing and scaling ML systems to meet stringent performance, reliability, and security requirements.

He stays up-to-date with the latest advancements in the field of machine learning and actively contributes to developing his team's ML strategy and best practices, ensuring the solutions delivered are cutting-edge and effective.

Principale expertise
  • Data Science 4 ans
  • Keras
    Keras 4 ans
  • Machine Learning
    Machine Learning 5 ans
Autres compétences
  • Apache Airflow
    Apache Airflow 1 ans
  • Redshift
    Redshift 1 ans
  • Team leading 1 ans
Cristopher
Cristopher F.

Brazil

Commencer

Expérience sélectionnée

Emploi

  • Software Engineer (Applied ML)

    Voxy - 3 années 3 mois

    • Developing features for Voxy's platform using state-of-the-art LLMs for problems such as Semantic Search, POS tagging, Named Entity Recognition, Audio Classification, Recommendations.
    • Led the implementation of a new ML workflow using AWS Sagemaker following MLOps best practices.
    • Also responsible for integrating these models with our backend, creating data models and making design decisions on scalability and robustness.

    Les technologies:

    • Les technologies:
    • Machine Learning Machine Learning
    • Python Python
    • PyTorch
    • TensorFlow TensorFlow
    • AWS AWS
    • Apache Airflow Apache Airflow
    • ElasticSearch ElasticSearch
    • Redshift Redshift
    • Team leading
    • MLOps
    • NLP
  • Machine Learing Engineer

    Pix Force - 11 mois

    • Worked as a Machine Learning Engineer. In this role, he trained Deep Learning models on Computer Vision for industry applications.
    • Besides model training, he helped deploy these models on-premises or cloud.
    • Experience with models such as U-net, ImageNet, YOLO, MaskRCNN, and FastRCNN for solving problems in image classification, segmentation, object detection, line detection.

    Les technologies:

    • Les technologies:
    • Machine Learning Machine Learning
    • Python Python
    • PyTorch
    • TensorFlow TensorFlow
    • AWS AWS
    • Docker Docker
    • Kubernetes Kubernetes
    • Computer Vision
  • Masters Student

    LaCCAN - 1 an 11 mois

    • Master's student in the Computational Modeling of Knowledge program, with a scholarship from CNPq in partnership with Aloo Telecom.
    • This project studies Artificial Intelligence techniques and Complex Networks for evaluating, simulating, and optimizing Software-defined Networks.

    Les technologies:

    • Les technologies:
    • Machine Learning Machine Learning
    • Python Python
    • PyTorch
    • TensorFlow TensorFlow
  • Django Developer

    LaCCAN - 2 années

    • Developed backend for a system of predicting tax calculation for Alagoas State.
    • Responsible for the rule-based system alongside natural language processing for predicting the tax value for goods.
    • Created from scratch the API endpoints and data modeling.

    Les technologies:

    • Les technologies:
    • Data Science
    • NumPy NumPy
    • Python Python
    • Scikit-learn Scikit-learn
    • TensorFlow TensorFlow
    • Django Django
    • NLP

Éducation

  • Maîtrise ès sciencesComputational Knowledge Modelling

    Federal University of Alagoas · 2018 - 2020

  • FormationComputer Engineering

    University of Nevada-Las Vegas · 2015 - 2016

  • License ès sciencesComputer Engineering

    Federal University of Alagoas · 2013 - 2018

Trouvez votre prochain développeur en quelques jours et non sur plusieurs mois

Dans un court appel de 25 minutes, nous voulons:

  • Comprendre vos besoins en développement
  • Vous expliquez comment nous allons vous mettre en relation avec le développeur le mieux qualifié pour votre projet, sélectionné avec soin
  • Vous indiquez nos prochaines démarches afin de vous trouver le meilleur développeur, souvent en moins d'une semaine

Contactez-nous