Senior AI Engineer at Typewise - ETH Zurich
From May 2022 to Present at Typewise - ETH Zurich, Zurich, Switzerland
As a Senior AI Engineer at Typewise (Y Combinator alumni), I work at the intersection of industry and academia through our collaboration with Prof. Ryan Cotterell's NLP lab at ETH Zurich. I lead the development of advanced text prediction and grammar correction systems, strategically balancing computational efficiency with model performance to create production-ready NLP solutions. My responsibilities include optimizing large language model integrations, architecting scalable AWS infrastructure, and ensuring robust deployment of our language technologies. Recently, I've been focusing on developing AI agents for customer care applications, leveraging cutting-edge libraries and frameworks to create responsive, context-aware solutions. Beyond technical leadership, I actively participate in strategic discussions with the founding team on product development, business growth, and organizational scaling, including talent acquisition and team development.
AI Research Fellow at Leonardo
From Jan 2021 to Apr 2022 at Leonardo, Leonardo Labs in Applied AI
As a Research Fellow at Leonardo Labs' Applied AI division, I conducted advanced research and developed early-stage solutions utilizing the davinci-1 High Performance Computing cluster. My research primarily focused on Natural Language Processing with PyTorch, specializing in transformer-based semantic similarity models, NLP-driven document retrieval systems, and sentiment analysis frameworks. Beyond my research responsibilities, I served as Project Manager and AI developer for strategic internal initiatives, translating research innovations into practical solutions.
AI Engineer at Metaliquid
From Jan 2020 to Jan 2021 at Metaliquid, Startup
At this research-focused startup, I specialized in developing and productizing Deep Learning technologies using Scala. My primary responsibility was transforming cutting-edge neural network architectures from academic research into practical applications for image, video, and audio analysis in the broadcasting industry. I worked closely with university research partners and contributed to several academic publications while bridging the gap between theoretical AI and commercial implementation.
Data Scientist at EnergyWay
From Aug 2019 to Dec 2019 at EnergyWay, Part-time
During my final academic year, I worked part-time as a Data Scientist focusing on comprehensive data analysis and management. I leveraged Python's scientific ecosystem (Pandas, Scikit-learn, SciPy) to extract actionable insights from complex datasets while implementing AWS cloud technologies to create scalable storage solutions and automated processing workflows. This role allowed me to apply academic knowledge to real-world business challenges while developing enterprise-grade data solutions.