Computational Linguist
About Me
I am a data-focused computational linguist with experience in natural language processing (NLP), AI data annotation, and speech technologies. I am adept in phonetics, prosody, and linguistic data curation. Currently, I am completing intensive data science training with hands-on exposure to Python, SQL, and NLP tools. I am skilled in model evaluation, multilingual annotation, and cross-functional collaboration. I am committed to bridging language science and artificial intelligence with scalable, real-world solutions. My passion lies in AI, NLP, and the intersection of linguistics with AI, and I am drawn to multicultural, multilingual settings with a deep appreciation for cross-cultural collaboration.
Skills
Project ManagementPythonSQLMachine LearningCustomer SupportQuality AssuranceTeachingCurriculum Development
Education
Master’s in Linguistics
Research Focus: Emotion perception through intonation. Accepted poster at PaPe 2025.
BA in Portuguese Grammar and Literature
Experience
Analyzed academic essays for grammatical accuracy, argumentation, and linguistic clarity. Delivered detailed feedback aligned with institutional standards.
Edited and evaluated AI-generated textual content for NLP tasks, including coherence, tone, and correctness. Linguistic data curation.
Transcribe, annotate and validate large-scale linguistic datasets for training GenAI and NLP models in English and Portuguese.
Resolved user queries while contributing to internal automation processes. Maintained 85% first-contact resolution rate with multilingual users.
Managed multilingual data collection and annotation efforts for speech and text AI systems. Reported project metrics and liaised with development teams for workflow optimization.
Conducted audits on customer interactions to identify behavioral trends and training needs.
Annotated and analyzed phonological and prosodic features for speech recognition models. Supported evaluation of automatic speech recognition (ASR) systems.
Developed curriculum and taught cross-cultural language learners across four countries. Led teacher training and process improvement projects in academic settings.