Gustavo Lopes Cordeiro De Campos
Hyland Software
Florianópolis
1
Language
1
Certification
5
years of professional experience
Machine Learning Engineer and AI Engineer experienced in designing, deploying, and monitoring scalable AI solutions. Developed a range of models and applications, including supervised and unsupervised learning models, LLM applications, and computer vision systems, while applying MLOps principles throughout the AI solution lifecycle. Focused on leveraging AI to drive business value, automate processes, and facilitate data-driven decision-making.
Work History
Analytics Engineer R&D
11 Months- Built, trained, and evaluated models using Python libraries (scikitlearn, PyTorch) to improve predictive accuracy.
- Deployed and monitored models using AzureML to ensure reliability and performance. Performing feature selection, hyper-parameter tuning, and metric analysis, and collaborating on prototype refinement for integration.
- Enhanced DBT models to extract, transform, and load features for reporting and ML experiments, while documenting pipelines and ensuring adherence to CI/CD practices with automated tests and version control in team’s GitHub repository.
- Implemented models that improved decision making by forecasting ARR and renewal rate
Machine Learning Engineer
6 Months- Deployed artificial intelligence solutions using Python to enhance application capabilities.
- Implemented Q&A LLM Agentic Models and supervised/unsupervised models with scikit-learn and Pytorch, including classification, regression, clustering, and time-series forecasting to improve model performance.
- Implemented scalable data pipelines with automated ETL processes. I reduced operational time and increased the efficiency and profitability of applications.
- Reduced dashboard's load time by 80% by adopting data engineering good practices
- Reduced decision making time from days to hours by implementing analytical and RAG agentic pipelines
- Implemented Open Source data lakehouse and data processing platform that saved 10k+ dollars monthly
Machine Learning Engineer
2 Years- Designed and deployed AI solutions using Python, including LLM agents with RAG, predictive machine learning models, and time-series forecasting. Developed secure authentication, facial recognition, and fraud detection solutions that enhanced system integrity. Architected scalable open-source Data Lakehouse with MinIO, Apache Iceberg, and Trino; automated data pipelines using Apache Airflow, PySpark, Spark, Apache NiFi, and Airbyte to streamline data processing. Reduced data access times from hours to minutes, enabling near real-time analytics and AI-driven decision making. Utilized AWS, PyTorch, Trino, MinIO, Apache Iceberg, Apache Airflow, Apache NiFi, Airbyte, PySpark, Spark, Kafka, and SQL to deliver robust machine learning solutions.
- Developed and implemented machine learning models to enhance predictive analytics capabilities.
- Collaborated with cross-functional teams to align data strategies with business objectives.
- Optimized existing algorithms, improving accuracy and efficiency of data processing workflows.
FullStack Engineer
1 Year 2 Months- Developed, deployed, and maintained scalable full-stack applications using TypeScript, PHP, Laravel, NestJS, ReactJS, SQL, NoSQL, AWS, Docker, Kubernetes, and Linux.
- Designed and implemented RESTful APIs, optimized application performance, and ensured software quality through SOLID, DDD, EDA, and TDD practices.
- Collaborated in Agile/SCRUM environments to deliver features from technical and UI specifications.
- Resolved production issues, and supported the full software development lifecycle while continuously adopting modern web technologies and engineering best practices.
- Partook on implementation of onboarding system used by 50+k users
- Partook on fintech's financial payment method and statement used by 50+k users
Education
Bachelor - Civil Engineering
Master of Science - Artificial Intelligence/Machine Learning
Skills
Machine learning
ETL processes
Feature engineering
Natural language processing
ETL development
Data engineering
Data science implementation
Python programming
Azure databricks
Continuous integration
Continuous deployment
Certification
- Linear Algebra for Machine Learning and Data Science
- Analyze Datasets and Train ML Models using AutoML
- Calculus for Machine Learning and Data Science
- Supervised Machine Learning: Regression and Classification
- Structuring Machine Learning Projects
- Neural Networks and Deep Learning
- Advanced Learning Algorithms
- Unsupervised Learning, Recommenders, Reinforcement Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Convolutional Neural Networks
- Sequence Models
- Canadian Standards Association Field Testing Technician
- Seminários Avançados em LLM/Advanced Seminars on LLM
Languages
Native Portuguese, Native English, Intermediary French, Basic Mandarin
Timeline
Analytics Engineer R&D
Hyland Software
09.2025 - CurrentRead More
Machine Learning Engineer
Grupo ND/RecordTV-SC
03.2025 - 09.2025Read More
Machine Learning Engineer
Freelance
03.2023 - 03.2025Read More
FullStack Engineer
Lol Design
01.2022 - 03.2023Read More
PUC Minas
Bachelor from Civil Engineering
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PUC Minas
Master of Science from Artificial Intelligence/Machine Learning
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