Marcos UserMU
Open to opportunities

Marcos User

@marcosuser

Senior AI/ML Engineer

Brazil

What I'm looking for

Seeking a challenging role in AI/ML engineering with opportunities for growth and innovation

I am a seasoned Artificial Intelligence and Machine Learning Engineer with over 10 years of experience in Python development and more than 7 years specializing in Machine Learning and Artificial Intelligence. My expertise includes hands-on experience in Deep Learning, NLP, LLM-based agents, Computer Vision, Business Intelligence, recommendation systems, and MLOps tools.

I have a proven track record of designing and deploying models using frameworks such as TensorFlow, Keras, PyTorch, LangChain, and Hugging Face Transformers. My experience in building scalable AI solutions on cloud platforms, focusing on AWS SageMaker and MLOps practices, has earned me 3 AWS certifications, including the Certified Machine Learning Associate.

Throughout my career, I have worked on various projects, including developing an LLM agent for assisted learning, creating an email marketing solution powered by a DL recommendation system, and implementing a Demand Forecasting and Order Suggestion system for distributors. I have also designed a line of AI-powered STEM kits that launched a new business stream, acquiring 20,000 customers and partner schools.

Experience

Work history, roles, and key accomplishments

PE
Current

Senior AI/ML

Projeteiros EdTech

May 2019 - Present (6 years 1 month)

Developed LLM agent, email marketing solution, Demand Forecasting system, and AI-powered STEM kits

QI

AI/ML Engineer

Quantu Retail Intelligence

Dec 2014 - May 2019 (4 years 5 months)

Developed retail analytics system, deployed computer vision units, delivered research projects

IC

Python Software Developer

Inatel Competence Center

Feb 2014 - Dec 2014 (10 months)

Worked on key account projects, served as core team member, collaborated on academic-business partnerships

Education

Degrees, certifications, and relevant coursework

National Institute of Telecommunications logoNT

National Institute of Telecommunications

Bachelor of Engineering, Telecommunications Engineering

2014 - 2018

Grade: 3.8

Graduated summa cum laude with the highest GPA among all Engineering programs. Merit-based scholarship awarded for achieving the highest academic performance among 400 students. Relevant coursework included Stochastic Systems, Digital Signal Processing, Probability and Statistics, Information Theory, and Calculus.

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