Lucas Helfstein

Senior Machine Learning Engineer

phData

Nov 2025 - Current (11 months)

Project 1: Production Forecasts Platform
• Main goal: Maintain and enhance machine learning pipelines responsible for forecasting production volumes across a large-scale food operation.
• Details and responsibilities: Collaborate closely with the demand modeling team to operate, improve, and scale the end-to-end forecasting ecosystem, including data pipelines, model execution, and production deployment.
• Outcome: Delivered a robust and scalable forecasting platform that serves as a core decision-making foundation for production planning, directly impacting operational efficiency and reducing waste across the business.
• Technologies: AWS, Terraform, Python, Databricks

Machine Learning Engineer

Thoughtworks

May 2024 - Nov 2025 (1 year 7 months)

Project 1: Infrastructure platform redeploy
• Main goal: Migration of client infrastructure from AWS to GCP for a proof of concept.
• Details and responsibilities: Work alongside the infrastructure team to build and execute the whole deployment of the infrastructure and do the necessary code changes in the application to use GCP services.
• Outcome: The project stands as a baseline for the company to move their services to GCP when it makes sense for the business.
• Technologies: GCP, Terraform, Python, Kubernetes
Project 2: Gen AI Apps
• Main goal: Creation and support of multiple Gen AI-powered applications for a research company.
• Details and responsibilities: Work with the dev team to build and suppor

Data and ML Engineer

idwall

Jun 2022 - May 2024 (2 years)

Project 1: Data Platform
• Main goal: Migration of all data pipelines from the old data lake and warehouse on GCP to Lakehouse on GCP-based Databricks
• Details and responsibilities: Work alongside the data platform squad to build a solid data foundation for all areas of the company. We developed a Python library to help us achieve a consistently cleaned data layer for the work of data analysts.
• Outcome: The platform is a source of truth for multiple areas of the company, helping the company make data-driven decisions for the future.
• Technologies: GCP, Kubernetes, Terraform, Apache Spark, Apache Airflow, Databricks
Project 2: MLOps Culture
• Main goal: Dissemination of the MLOps culture throughout the organ

Data Scientist and Engineer

JOTA

Nov 2017 - May 2022 (4 years 7 months)

Project 1: Data processing and training pipeline for the predictive model "Carf Previsível"
• Main goal: Creation of a predictive model for decisions by the Administrative Board of Tax Appeals in Brazil (CARF)
• Details and responsibilities: Participate in the design of the project and develop the entire system, from obtaining unstructured data from the site, through cleaning the data, developing and deploying the model.
• Outcome: We arrived at an MVP signed by more than a dozen clients in making strategic decisions, strongly contributing to the stability and financial health of the company.
• Technologies: Python, AWS, scikit-learn, matplotlib
Project 2: Data pipeline for the predictive model of "Aprovometro"

N

Intern

Neuromat

Oct 2015 - Oct 2017 (2 years 1 month)

Project 1: Internal platform development
• Main goal: Develop new features for internal open source system in Django
• Details and responsibilities: Development of software to assist in preparing the annual report of activities, a document that is submitted annually to FAPESP.
• Outcome: Developed system available at this link
• Technologies: Python, Django, Javascript, PostgreSQL, Jenkins, Agile Methodologies
Project 2: Local network maintenance
• Main goal: Keep computers on the internal network updated for use by researchers
• Details and responsibilities: Updating computers and solving technical problems for all devices on the internal network.
• Outcome: Computers within a fully managed and stand

About

Detail

Timeline

Résumé

Lucas Helfstein

About

Detail

Behavioral traits