Mariana Prazeres
Trainee Lawyer at EDGE - International Lawyers
Lisbon, Portugal
Summary
🤩
Rockstar🎓
Top SchoolMariana Prazeres is a trainee lawyer based in Sydney with 12 years of professional experience and a strong international legal education, including exchange studies in Buenos Aires and postgraduate specializations in medical law, criminal law, and divorce/estate matters. Currently advising clients on tax planning, wealth structuring and private client issues at EDGE – International Lawyers, she combines meticulous legal research and report drafting with hands-on tax compliance support. Fluent at C2 English and rooted in a science-and-technology high school background, she brings analytical rigor and cross-disciplinary curiosity to complex international tax problems. Outside traditional legal work she has contributed as a backend developer to the prominent open-source Rasa project, improving NLU training-data handling—an unusual blend that signals comfort with technical systems and data-driven workflows. This combination of international legal training, technical contribution to a well-known ML conversational framework, and practical tax advisory experience positions her to navigate multidisciplinary, tech-influenced legal matters.
12 years of coding experience
1 year of employment as a software developer
High School Diploma, Sciences and Technologies, High School Diploma, Sciences and Technologies at Escola Secundária José FalcãoPostgraduate Degree, Divorce, Inventory and Sharing, Postgraduate Degree, Divorce, Inventory and Sharing at Faculdade de Direito da Universidade de LisboaExchange Program, Exchange Program at University of Buenos AiresEnglish C2 Proficiency, English C2 Proficiency at EF Language AbroadPostgraduate Degree, Medicine Law, Postgraduate Degree, Medicine Law at Universidade de Coimbra
English, Spanish, Portuguese
Github Skills (9)
nlu10
rasa10
python10
natural-language-processing10
machine-learning9
bot-framework8
chatbot7
json6
yaml6
Programming languages (4)
Github contributions (5)
RasaHQ/rasa
Aug 2020 - Oct 2021
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
Backend Developer
Backend DeveloperContributions:83 reviews, 40 commits, 17 PRs in 1 year 2 months
Contributions summary:Mariana's contributions primarily involve modifications to the Rasa NLU framework, focusing on training data handling and related functionalities. They've made changes in the `TrainingData` class, implementing features like merging training data, and preparing for release versions. The commits indicate work on data persistence and the generation of different training data representations (JSON, Markdown, YAML). These changes contribute to improving the framework's NLU capabilities.
nlupythonbotspeech-recognitionbotkit
mprazz/rasa-x-demo
Feb 2022 - Feb 2022
Demo app for running a bot with Rasa X
Contributions:1 commit, 4 PRs, 8 pushes in 1 day
demo-appbotrasa-xrasa
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