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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.
Main expertise
- Data Science 4 years
- Keras 4 years
- Machine Learning 5 years
Other skills
- Apache Airflow 1 years
- Redshift 1 years
- Team leading 1 years
Selected experience
Employment
Software Engineer (Applied ML)
Voxy - 3 years 3 months
- 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.
Technologies:
- Technologies:
Machine Learning
Python
- PyTorch
TensorFlow
AWS
Apache Airflow
ElasticSearch
Redshift
- Team leading
- MLOps
- NLP
Machine Learing Engineer
Pix Force - 11 months
- 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.
Technologies:
- Technologies:
-
Machine Learning
-
Python
- PyTorch
-
TensorFlow
-
AWS
Docker
Kubernetes
- Computer Vision
Masters Student
LaCCAN - 1 year 11 months
- 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.
Technologies:
- Technologies:
-
Machine Learning
-
Python
- PyTorch
-
TensorFlow
Django Developer
LaCCAN - 2 years
- 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.
Technologies:
- Technologies:
- Data Science
NumPy
-
Python
Scikit-learn
-
TensorFlow
Django
- NLP
Education
MSc.Computational Knowledge Modelling
Federal University of Alagoas · 2018 - 2020
Standalone courseComputer Engineering
University of Nevada-Las Vegas · 2015 - 2016
BSc.Computer Engineering
Federal University of Alagoas · 2013 - 2018
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