Wellington Rodrigo Monteiro
Verified Expert in Engineering
Machine Learning Engineer and Developer
Curitiba - State of Paraná, Brazil
Toptal member since October 5, 2022
Wellington is a senior data scientist and machine learning engineer with 10+ years of experience designing AI systems, back-end projects, and integrations with existing solutions respecting enterprise architecture requirements for large companies such as ExxonMobil and BRF. He specializes in complex machine learning models such as ensemble models, explainable artificial intelligence, and fair AI. Wellington also works with multi-objective optimization problems in critical applications.
Portfolio
Experience
- SQL - 10 years
- Python - 7 years
- Machine Learning - 7 years
- Data Science - 7 years
- Pandas - 6 years
- Supervised Learning - 6 years
- Ensemble Methods - 5 years
- Explainable Artificial Intelligence (XAI) - 3 years
Availability
Preferred Environment
Cloud, Python, Pandas, Ensemble Methods, Explainable Artificial Intelligence (XAI)
The most amazing...
...thing I've implemented is novel algorithms directly from scientific conferences to real-world, complex scenarios while working between academia and industry.
Work Experience
Lead Machine Learning Engineer
Nubank
- Migrated complex features in big data structures to optimize space and cost.
- Incorporated explainable artificial intelligence (XAI) and fairness capabilities into complex ML classifiers handling big data.
- Trained other data scientists and machine learning engineers on MLOps, XAI, and fairness processes.
Professor
Pontifícia Universidade Católica do Paraná
- Served as an honorary professor of the Polytechnic School for two years, in 2021 and 2022.
- Taught technical courses such as machine learning, programming, and databases.
- Held non-technical and mixed technical courses on project management, DevOps, and enterprise architecture.
Data Science Chapter Lead
BRF
- Oversaw a $3 million AI project spanning nine months, consisting of multiple time-series forecast methods.
- Implemented a time-series model to forecast vaccination rates within the company offices and factories with an accuracy of over 90%.
- Defined the data science technical architecture used across all company business units.
Data Science Tech Lead
BRF
- Developed an ML regressor to predict retail sales of over 500 SKUs and 100 sites daily.
- Built a recommender system to provide B2B recommendations for grocery stores in over 4,000 cities.
- Developed an ML regressor to predict road accident risks.
Senior Data Scientist
BRF
- Created 70 web scraping applications collecting public data such as industrial throughput, exchange rates, market indicators, and sector KPIs.
- Developed a classifier for animal health risk detection with over 90% accuracy.
- Created a regressor to predict poultry weight with an error range of 50 g.
International Projects Analyst
BRF
- Contributed to full-cycle implementation of an ERP for operations in China, one of the company's largest customer markets.
- Participated actively in four full-cycle projects, leading integrations with legacy software in M&A projects in Argentina, Europe, the Middle East, and Thailand.
- Created software to manage all weighbridges simultaneously in the company, with an estimated economy of $10,000 per month.
SAP MM PTP Analyst
ExxonMobil
- Implemented and developed non-SAP applications in .NET and C# used in all European retail sites.
- Developed and maintained all procure-to-pay (PTP) processes related to acquisition and supply chain in the Americas, Africa, Europe, and Asia-Pacific in the upstream and downstream parts and chemical businesses.
- Optimized and implemented legacy databases used by critical company applications.
Experience
Recommender System for B2B
https://customers.microsoft.com/en-us/story/1338924265808999371-brf-consumer-goods-azure-machine-learningAdvanced Analytics Models in Agriculture
https://fiesc.com.br/pt-br/imprensa/brf-investe-r-10-milhoes-na-jornada-commodities-40Education
Doctorate Degree in Industrial and Systems Engineering
Pontifical Catholic University of Paraná - Curitiba, Brazil
Master's Degree in Industrial and Systems Engineering
Pontifical Catholic University of Paraná - Curitiba, Brazil
Bachelor's Degree in Computer Engineering
Pontifical Catholic University of Paraná - Curitiba, Brazil
Skills
Libraries/APIs
Pandas, Scikit-learn, XGBoost, PyTorch, TensorFlow, REST APIs
Tools
Git, AutoML, Azure Machine Learning, SAP Materials Management (MM), Figma
Languages
SQL, Python, Scala, C#
Paradigms
Serverless Architecture, DevOps, Scrum, Agile
Platforms
Azure Functions, Databricks, Docker, Amazon Web Services (AWS)
Storage
Databases
Frameworks
.NET, Spark, LightGBM
Other
Multi-objective Programming, Genetic Algorithms, Data Science, Explainable Artificial Intelligence (XAI), Supervised Learning, Ensemble Methods, Machine Learning, Big Data, Multi-objective Optimization, Optimization, IT Project Management, APIs, Machine Learning Operations (MLOps), Recommendation Systems, Data Visualization, IT Systems Architecture, Agile DevOps, Web Scraping, Data Warehousing, Azure Data Lake, Azure Data Factory (ADF), Unsupervised Learning, Agile Data Science, Technical Writing, Cloud, Data Analysis
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