João Vitor Gomes
AI, ML, and software development mentor with 10+ years of hands-on experience. Expert in [ Python, TensorFlow, React, etc.] and [ computer vision, natural language processing, etc.].
My methodology leverages empirically-validated learning frameworks that Fortune 500 executives and tech visionaries value.
Rather than surface-level knowledge, you'll gain the strategic understanding and technical rationale that drives innovation—the same depth of insight that separates market leaders from followers.
This isn't about code memorization; it's about mastering the decision architecture that powers technological advancement.
I help developers and businesses with:
- Solving complex technical challenges in real-world projects
- Understanding advanced concepts in AI and software engineering
- Accelerating professional growth with personalized feedback
- Developing effective AI strategies aligned with business goals
As a technical leader who has guided dozens of engineers and organizations through AI implementation, I can offer perspectives on both coding challenges and strategic decision-making in AI adoption.
REVIEWS FROM CLIENTS
Results-driven engineer with over 20 years of experience creating algorithms across software development, machine learning, time serie...
Results-driven engineer with over 20 years of experience creating algorithms across software development, machine learning, time series analysis, computer vision, natural language processing (NLP), fraud detection, and quantitative finance. Lately, I’ve been working with large language models and intelligent agents, exploring their applications in dynamic, real-world systems. I enjoy leading and supporting teams by fostering collaboration and strong working relationships. I'm comfortable managing the full development lifecycle—from ideation and prototyping to algorithm design, backend and frontend implementation, integration, and testing. I’ve collaborated with multidisciplinary teams spanning economics, physics, software engineering, product, and QA. My main areas of expertise include software engineering, computer vision, machine learning, NLP, fraud detection, intelligent agents, large-scale time series and tabular data, large language models, and quantitative finance.