Lígia Venturott is a software engineer and machine learning researcher from Brazil with 9 years of experience building production systems and NLP models, currently contributing to Slang AI. She holds an MEng in Electrical Engineering with a dissertation on hate speech detection and a joint master's focused on fake news classification, blending academic rigor with applied ML. Her background spans full-stack development, simulation platforms for routing optimization at Ocado Technology, and practical telecommunication and embedded systems work from early roles. Comfortable with Python, C#, microcontrollers and data pipelines, she often translates research prototypes into usable features that measure real-world impact. Notably, her trajectory shows a consistent thread of applying language technologies to social-good problems rather than purely commercial use cases.
10 years of coding experience
5 years of employment as a software developer
Master's degree Technology for Translation and Interpreting, Master's degree Technology for Translation and Interpreting at New Bulgarian University
Técnico Eletrotécnica, Técnico Eletrotécnica at Ifes - Instituto Federal do Espírito Santo
Master's degree Electrical Engineering / Machine Learning, Master's degree Electrical Engineering / Machine Learning at Universidade Federal do Espírito Santo (Oficial)
Mestrado Technology for Translation and Interpreting, Mestrado Technology for Translation and Interpreting at University of Wolverhampton
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