Freelancer profile translated to English.
Back to original languageAbout Guendalina
As a seasoned Machine Learning Engineer, specializing in Natural Language Processing (NLP) and Deep Learning, I offer cutting-edge solutions for your AI and data science needs. My skills include:
- Proficiency in Python, TensorFlow, PyTorch, and HuggingFace
- Extensive experience with LLMs, GenAI, and NLP models
- Knowledge of cloud platforms (AWS, GCP) and big data technologies (Spark, Hadoop)
- Proven experience in sentiment analysis and text generation
- Strong background in financial data analysis and automation
With a **PhD in NLP and Deep Learning**, I have successfully deployed models that improved performance by 15% and reduced project timelines. My multilingual capabilities and experience across various industries enable me to tackle diverse challenges effectively.
Whether you need to enhance your data pipeline, develop custom NLP solutions, or implement state-of-the-art machine learning models, I am here to drive innovation and deliver results for your projects. Let's collaborate to transform your data into actionable insights and powerful AI-driven solutions.
French
Native or bilingual
English
Native or bilingual
Italian
Native or bilingual
Portuguese
Fluent
Spanish
Fluent
Swedish
Basic
German
Conversational
Remote only
Primarily works remotely
Experience
- FactSetMachine Learning EngineerTECHJanuary 2023 - Today (3 years and 5 months)Paris, FranceEngineered and deployed a sentiment analysis LLMsthatimproved performance by 15%, delivered three months aheadof schedule
- TextCortexMachine Learning EngineerTECHJune 2022 - November 2022 (6 months)Berlin, Germany- Researched state-of-the-art machine learning/data science approaches applicable to text generation and language modeling- Developed a DL algorithm for automated text generation evaluation within the first 2 weeks
- LabSenseMachine Learning EngineerPRESS AND MEDIANovember 2018 - Today (7 years and 7 months)Paris, France- Spearheaded the R&D department and investigated new research directions and their potential for novel, practical application to NLP-related tasks- Launched and Conducted 3 DL research projects from start to finish within 6 months- Designed DL algorithms that resulted in a 20% time-gain for client project on average- Upgraded and localised the company’s proprietary software from one language to 14 different languages- Defined, Encoded and Programmed Natural Language rules in PHP and Python for Automated Text Generation in 14 languages
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Education
- PhD in Deep Learning and Natural Language ProcessingUniversity of Sunderland2024
- MSc in Multilingual Computing and Localisation – II Class HonoursUniversity of Limerick2018Localisation, ingénierie linguistique, automatisation des langues, technologie de la traduction, études sur l'internationalisation et la mondialisation