André Ferreira
Machine Learning Engineer at Climatiq
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolAndré Ferreira is a Machine Learning Engineer based in Amsterdam with a decade of hands-on experience and a strong foundation in Electrical and Computer Engineering. He has built and productionized ML systems across climate tech and GenAI—reducing analysis time from weeks to days with LLM-powered tooling, improving model accuracy on satellite imagery, and automating metrics pipelines that saved analyst-hours. Comfortable across the ML stack, André ships solutions using PyTorch, TensorFlow, scikit-learn, LangChain, Airflow and GCP, and has led fine-tuning, benchmarking and deployments on AWS and Bedrock. He pairs technical leadership with product sensibility—serving as tech lead on multiple projects and contributing to open-source GenAI tooling—while focusing his work on measurable climate impact. Fluent in Portuguese, English and Spanish, he combines research rigor with practical MLOps to move prototypes into reliable production.
10 years of coding experience
5 years of employment as a software developer
Exchange Student Electrical and Computers Engineering, Exchange Student Electrical and Computers Engineering at Universidad Nacional de ColombiaScience and Technology, Science and Technology at Escola Secundária de SeiaMaster's degree Electrical and Computers Engineering, Master's degree Electrical and Computers Engineering at Instituto Superior Técnico
Portuguese, English, Spanish
Github Skills (110)
price10
parallel10
vector-database10
optimization10
fine-tuning10
gpt10
plotly10
application10
reinforcement-learning10
jupyter-notebook10
regl10
llm10
data-structures10
interactive9
sentiment-analysis9
Programming languages (3)
Github contributions (5)
AndreCNF/polids
Jan 2022 - Feb 2022
Analysis of electoral manifestos and output of it through apps.
Contributions:1 release, 43 commits, 4 PRs in 1 month
pythonprogramsdashboarddata-sciencedata-visualization
AndreCNF/data-utils
Nov 2019 - Nov 2020
A set of generic, useful data science and machine learning methods.
Contributions:145 pushes, 1 branch in 1 year
pythonsciencedataframesdata-sciencestatistical-learning
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