I am an AWS certified machine learning engineer with over 5 years of ML and data science experience in a wide variety of industries, such as financial compliance, audiovisual, and non-profits. I have applied my deep learning, Python, and data science abilities in a variety of organizations, from large multinational banks to small and fast-paced startups I recently finished my MSc in Machine Learning at the Montreal Institute of Learning Algorithms (MILA), in partnership with the University of Montreal. I have experience developing sophisticated deep learning models with PyTorch, with specific expertise in computer vision, audio data, and natural language processing. As a Deep Learning Researcher at D-BOX Technologies, I implement cutting-edge data augmentation techniques on spectrogram data to improve the performance of a CRNN audio classification model. In my role as a Machine Learning Consultant at Synthminds.AI, I strategize and implement tailored machine learning solutions to drive business transformation for a diverse clientele, using advanced deep learning techniques and tools. I am passionate about applying my skills and knowledge to solve real-world problems and create positive social change. I have experience designing and building machine learning tools for the anti-money laundering team at Société Générale, developing and maintaining web scraping tools for a non-profit human rights group, and leading the development and project management of a personalized vitamin recommendation system. I am skilled in Python programming and web scraping, and I excel at building robust data pipelines and conducting comprehensive data analysis. I am always eager to learn new technologies and methods, and to collaborate with cross-functional teams and experts. I am excited about the future of AI and driven to contribute to cutting-edge projects that leverage large language models and other emerging technologies.