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Igor Muniz

Machine Learning Engineer at Boomband

Boston, Massachusetts, United States

About

Senior Staff–level Machine Learning Engineer with 9+ years of experience designing, building, and deploying production-grade ML and LLM systems across fintech, AI research, and enterprise platforms. Crossfitter and chess player in the free time.

Superpower

Expert in architecting and deploying production-grade LLM and ML systems with a proven track record in both research and enterprise environments.

Experience

  • Machine Learning Engineer at Boomband · Feb 2026 – Present
  • Senior Data Scientist / ML Engineer at Electrifai · Mar 2024 – Dec 2025
  • AI Researcher at CEIA/UFG · Mar 2021 – Mar 2022
  • Lead Machine Learning Engineer at Exponential Ventures · Aug 2020 – Dec 2023
  • Data Scientist at Indra Company · Feb 2018 – Aug 2020
  • Computer Vision Engineer at Federal University of Goiás · Feb 2017 – Feb 2018
  • IoT Intern at MPT Engenharia · Jan 2016 – Dec 2016

Education

  • Bachelor · Computer Engineering at Federal University of Goiás · Dec 2016
  • Master · Computer Engineering at Federal University of Goiás · Sep 2019

Stories

Me in a Nutshell

I am a Senior Staff-level Machine Learning Engineer with 9+ years of experience designing, building, and deploying production-grade ML and LLM systems across fintech, AI research, and enterprise platforms. My background spans LLM applications, recommender systems, NLP, computer vision, and AI research, including a Nature Computational Science publication. I have a proven track record of owning complex ML systems, leading technical direction without stepping away from code, and shipping scalable, reliable AI products used in real-world production.

Skills

Adaptability, adaptation, AWS, C (Programming Language), c/c++, Computer Vision, consistency, Data Analysis, discipline, Docker, Embedding, gcp, Kubernetes, llms, Machine Learning, MLOps (Machine Learning Operations), Python, PyTorch (Machine Learning Library), R (Programming Language), rag, reranking models, Resilience, SQL, TensorFlow, TypeScript, vector databases