Cristopher F.
Machine Learning Developer
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.
Main expertise
Keras4 years
Machine Learning5 years
NumPy4 yearsExperience4
Software Engineer (Applied ML)
- 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.
TensorFlow
PyTorchMachine Learning
Redshift
Machine Learing Engineer
- 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.
TensorFlowPyTorch
Convolutional neural networkMachine Learning
Masters Student
- 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.
TensorFlowPyTorchMachine LearningDjango Developer
- 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.
TensorFlowNumPy
Scikit-learnAssessments
Engineering excellence
Cristopher’s overall performance in a 90-minute live technical assessment ranks in the top 10% of vetted Machine Learning Developers at Proxify.
Education
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