Mica Ménard

Senior Machine Learning Engineer with a demonstrated history of working in the industry. Skilled in Python, Natural Language Processing (NLP), Machine Learning and Time Series Processing. Strong engineering professional with a Master's degree focused in Computer Science from Université de Nantes.

I am a Machine Learning Engineer with extensive experience at Informetis in Cambridge, UK, from October 2019 to December 2023. In this role, I specialized in processing household electricity consumption time series data, applying self-supervised learning for energy management, appliance classification, and clustering. Additionally, I played a crucial role in optimizing space heating/cooling in households through the implementation of deep neural networks, language models (Transformers), and reinforcement learning. My responsibilities also encompassed software engineering, ensuring best coding practices, and overseeing continuous integration and deployment (CI/CD). Prior to this, I gained valuable experience as an Intern R&D Developer at Lengow in Nantes, France, from September 2018 to September 2019, where I conducted diverse Natural Language Processing (NLP) tasks in the e-commerce context. During this internship, I honed my machine learning and software engineering skills, emphasizing rigorous coding, testing, and deployment. Additionally, as a Machine Learning Research Intern at the Laboratory of Digital Sciences of Nantes from May 2018 to July 2018, I contributed to the European university project X5-GON, focusing on AI recommendation systems for educational resources using document representation and topic modeling algorithms such as word2vec and LDA.

I graduated with a Msc in Computer Science - Machine Learning & Natural Language Processing.