Marta Seca
Software Engineer at ComplyAdvantage
Lisbon, Lisbon, Portugal
Summary
👤
Senior🎓
Top SchoolMarta Seca is a software engineer based in Lisbon with 9 years of experience building ML-driven back-end systems and conversational AI. She has moved between data-science and engineering roles at companies like Revolut, Ericsson and Two Impulse, delivering chatbots, search solutions, and production-ready data pipelines using Python, TensorFlow, FastAPI, FAISS and Rasa. Currently at ComplyAdvantage, Marta blends practical ML experience with software engineering discipline to ship reliable validation and CLI improvements—she is an active contributor to the well-known open-source Rasa project. Her background in advanced analytics (NOVA IMS) and a combined CS/business bachelor gives her a strong product-aware approach to technical problems. Colleagues describe her as a fast learner who prefers to show impact through incremental, test-covered changes rather than grand architecture statements.
9 years of coding experience
5 years of employment as a software developer
Master's degree Advanced Analytics, Master's degree Advanced Analytics at NOVA IMS Information Management SchoolBachelor's degree Computer Science and Business Management, Bachelor's degree Computer Science and Business Management at Iscte - Instituto Universitário de Lisboa
Portuguese, English, Spanish
Github Skills (11)
nlu10
nlp10
rasa10
python10
natural-language-processing10
chatbot10
cli9
command-line9
machine-learning9
command-line-interface9
unit-testing8
Programming languages (1)
Github contributions (5)
RasaHQ/rasa
Mar 2021 - May 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:
Back-end Developer
Back-end DeveloperContributions:25 commits, 1 PR, 13 comments in 1 month
Contributions summary:Marta primarily contributed to the `rasa` project by modifying the command-line interface (CLI) and core components related to data validation. Their work included changes to data type handling within the `rasa data validate` command and modifications in the `rasa/cli/arguments/default_arguments.py` file. Additionally, they merged branch changes and adapted code for unit tests, indicative of involvement in software development and testing. These changes affect domain files and potentially related core policies.
nlupythonbotspeech-recognitionbotkit
mercedes-benz/GreenCodeEvaluator
Jun 2021 - Jun 2021
Repository for the HerHackathon 2021
Contributions:44 commits, 3 PRs, 1 comment in 2 days
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