With an MSc in Computer Science from EPFL, one of the world's leading technical universities, I am a passionate and experienced Machine Learning Engineer who thrives on solving complex problems with data. Currently, I lead a team of Machine Learning Engineers at Spiky.ai, a cutting-edge startup that provides advanced analytics for online meetings.In this role, I have redesigned and optimized the machine learning pipeline by leveraging a range of AWS technologies, such as Lambda, Step Functions, Batch, Sagemaker Endpoints, and ECS, with CDK. I have also developed and deployed state-of-the-art ML models for speech-to-text conversion, sentiment and emotion analysis, meeting summarization, and speech and facial emotion recognition, using Transformer architectures, computer vision, NLP, and Large Language Models. These models have enabled Spiky.ai to deliver high-quality insights and feedback to its clients, improving their meeting effectiveness and productivity.Prior to joining Spiky.ai, I worked as a Machine Learning Engineer and a Research Engineer Intern at Swisscom and Logitech, respectively, where I gained valuable experience in areas such as abnormal access pattern detection, user segmentation, and gaming analytics. I enjoy learning new skills and technologies, and I am always eager to take on new challenges and opportunities. Let's connect to talk about how we can shape the future with data!
Listed skills include Bert, Pandas, Scikit Learn, R, and 45 others.
