Gustavo Marcos Dos Anjos

Available to hire

I’m a Senior Machine Learning Engineer and full-stack software engineer focused on turning strong mathematical and statistical foundations into practical, production-ready AI systems.

About

I’m a Senior Machine Learning Engineer and full-stack software engineer focused on turning strong mathematical and statistical foundations into practical, production-ready AI systems. My work spans the full ML lifecycle—from data preprocessing, labeling/annotation, and feature engineering to model training, evaluation, optimization, and deployment—across Computer Vision, NLP, and Generative AI.

I enjoy building reliable AI solutions end to end, including RAG and LLM-powered applications and AI agents, while also integrating models into scalable web services. With Python as my core development language and experience across modern ML frameworks like PyTorch and TensorFlow, I aim to ship intelligent products that perform well in real-world conditions, not just in experiments.

  • 6 years' experience
  • Joined September 2026

Industry experience

  • Software & Internet

Work experience

Aug 2023 – Aug 2026 · 3 yrs 1 mo

Senior Machine Learning Engineer / Machine Learning Engineer scope across the ML lifecycle: preprocessing and EDA, data annotation/labeling, feature engineering, model development (classical ML and deep learning), evaluation and optimization, plus deployment and integration into full-stack applications. Experience covers Computer Vision, NLP, ASR, Generative AI, LLMs, RAG, and AI agents.

Jul 2021 – Mar 2023 · 1 yr 9 mos

Machine learning and software engineering work across statistical learning and deep learning, with emphasis on building and evaluating reliable models. Includes experience with Python, common ML tooling (PyTorch/TensorFlow/scikit-learn), and production-ready integration patterns.

Nov 2019 – Apr 2021 · 1 yr 6 mos

Model development and engineering responsibilities spanning probabilistic/statistical methods and deep learning, plus implementation support for ML pipelines and evaluation workflows.

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