Summary
Overview
Work History
Education
Skills
Websites
Tools
Accomplishments
Timeline
Generic
Walter Maldonado Jr

Walter Maldonado Jr

AI/ML Engineer
Jaboticabal

Summary

Experienced with developing and deploying machine learning algorithms that drive business insights, always with an end-to-end approach. Utilizes statistical analysis and data mining techniques to enhance model accuracy and performance. Track record of integrating machine learning and AI solutions into production environments, ensuring scalability and reliability.


Overview

8
8
years of professional experience
13
13
years of post-secondary education
3
3
Languages

Work History

Staff MLOps Engineer

Bayer Cropscience Global
São Paulo - SP
03.2025 - Current
  • Designed and implemented innovative engineering solutions with AWS to deliver a platform for ML/AI models lifecycle: from ideation, development, deployment, production and monitoring
  • Enabled the development, deployment and monitoring of RAG LLMs and worked with other teams to ensure model and data quality, lineage tracking and automated metrics monitoring and alerting
  • Conducted detailed analyses of engineering processes, identifying areas for optimization and cost reduction, enabling at least 3 models operating in a critical fraud detection system ($100 - $200MM yearly)

Lead AI/ML Engineer

Cargill
São Paulo - SP
03.2020 - Current
  • Worked as the Tech Lead of a data science project using discrete events simulation for logistics application, managing its development team and taking care of model development.
  • Vast working with time-series predictive modeling of crop production in Brazil.
  • Collaborated with cross-functional teams to integrate AI solutions into existing systems, increasing operational efficiency and accuracy of data processing.
  • Managed end-to-end project lifecycles for machine learning initiatives, from initial data gathering to deployment, aligning outcomes with organizational goals (at least 4 model deployments with value capture greater than $10MM).

Full-stack Developer

Delphi Online
São Paulo - SP
08.2019 - 03.2020
  • ERP development using Vue and node.js
  • Worked with SQL with several databases (Oracle, PostgreSQL, MySQL) to generate rich reports for value delivery since the data gathering and cleaning stage up to the development of the tool for the end-user to successfully make the most of the collected insights
  • Worked with legacy system modernization during production switch, with approximately 250 customers (mining companies)

College and Post-graduate Professor

UNESP
Jaboticabal - SP
03.2017 - 08.2019
  • Exact Sciences department, responsible for the courses of Calculus, Statistics, Experimentation (linear models and experimental designs), Databases, Data Processing and Digital Image Processing
  • Worked with diverse students and successfully contributed to the department's mission, contributing to the education of at least 1000 students
  • Developed and delivered engaging course materials for undergraduate and graduate programs, enhancing student understanding of complex subjects
  • Conducted research in specialized areas, contributing to academic publications and presentations at national and international conferences

Education

Post-doctorate - Machine Learning applied to digital images to recognize and count insects in yellow traps for automatic evaluation.

AgroSmart
Campinas - SP
01.2018 - 01.2019

Post-doctorate - Application of modern Machine Learning to fruit recognition in digital images of orange trees.

Fundecitrus
Araraquara - SP
01.2017 - 01.2018

PhD - computer vision applied to orange production (automatic detection of green fruits on the trees). Published paper in Computers and Electronics in Agriculture.

UNESP
Jaboticabal - SP
01.2013 - 12.2016

Masters - Crop Production, working with spatial distribution and sequential sampling. Published paper in Agronomy Journal.

UNESP
Jaboticabal - SP
01.2011 - 12.2012

Agronomist Engineer - Agronomy

UNESP
Jaboticabal - SP
03.2005 - 01.2010

Skills

Data Exploration and Maintenance

Websites

Tools

R: Im, geoR, krigging (linear models and geostatistics), etc., Python: OpenCV, Tensorflow, Scikit-learn, Scikit-image, fbprophet, arima, sarimax, jupyter, conda., Apache Airflow, Apache Spark, Apache Kafka, Apache Pulsar, Kedro, Python, R, Java, C++, PHP, Javascript (Vue.js, React.js, Node.js), Java (Android), Objective-C (Mac, iOS), Swift, Go, Docker, Kubernetes, CI/CD Tools (GitHub Actions, Vela, Drone), AWS, Google Cloud, Microsoft Azure, PostgreSQL, MySQL, Oracle, MS SQL Server, MongoDB, Redis, Elasticsearch, DynamoDB, Apache Hadoop, Redshift, Databricks, Snowflake

Accomplishments

  • Achieved more than $30MM by creating a virtual model and supporting its development and production workloads as a digital twin for supply chain management.
  • Structured a software development and product sustenance team for delivery of objective results to the business for ports and exportation flow management.
  • Supervised team of 6 staff members.

Timeline

Staff MLOps Engineer

Bayer Cropscience Global
03.2025 - Current

Lead AI/ML Engineer

Cargill
03.2020 - Current

Full-stack Developer

Delphi Online
08.2019 - 03.2020

Post-doctorate - Machine Learning applied to digital images to recognize and count insects in yellow traps for automatic evaluation.

AgroSmart
01.2018 - 01.2019

College and Post-graduate Professor

UNESP
03.2017 - 08.2019

Post-doctorate - Application of modern Machine Learning to fruit recognition in digital images of orange trees.

Fundecitrus
01.2017 - 01.2018

PhD - computer vision applied to orange production (automatic detection of green fruits on the trees). Published paper in Computers and Electronics in Agriculture.

UNESP
01.2013 - 12.2016

Masters - Crop Production, working with spatial distribution and sequential sampling. Published paper in Agronomy Journal.

UNESP
01.2011 - 12.2012

Agronomist Engineer - Agronomy

UNESP
03.2005 - 01.2010

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Walter Maldonado JrAI/ML Engineer