Victor Accete is a Data Scientist with an 11-year track record rooted in Computer Engineering and hands-on experience building NLP and ML solutions for industry and research. At Instituto Atlântico he developed production-ready RAG systems, improved model accuracy through prompt engineering, and orchestrated agent workflows with LangChain and LangGraph. His background spans computer vision research (3D kinship recognition), published systematic reviews on ML in education, and multicultural ML collaborations at Omdena, where his visualizations became part of a final API. Comfortable across the Python data stack, TensorFlow, BERT, Codellama and vector databases, he pairs strong engineering discipline with an aptitude for clear technical communication—evidenced by teaching roles at Stanford’s Code in Place and internal Streamlit workshops. Based in Alagoas, Brazil, Victor blends research rigor with product-focused delivery and a persistent curiosity for generative AI and deployable ML systems.
11 years of coding experience
3 years of employment as a software developer
Bacharelado, Engenharia de Computação, Bacharelado, Engenharia de Computação at Universidade Federal de Alagoas
Repositório do projeto da disciplina Introdução à Ciência de Dados, semestre 2018.2, pela Universidade Federal de Alagoas.
Contributions:6 PRs, 73 pushes, 12 branches in 1 month
dadosprojetodisciplinariouniversidade
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.