Senior AI Engineer at Typewise - ETH Zurich
From May 2022 to Present (3 years 8 months) at Typewise - ETH Zurich, Zurich, Switzerland
As a Senior AI Engineer at Typewise, I own the NLP/LLM roadmap and deliver production-grade language systems. My work spans retrieval-augmented AI agents for customer service automation (LangGraph), as well as real-time multilingual text prediction and grammar correction. I build and maintain low-latency Python services (<250ms) on AWS, drive engineering quality improvements (TDD and tooling), and collaborate closely with the founders and leadership on product strategy, organizational scaling, and hiring.
AI Research Fellow at Leonardo
From Jan 2021 to Apr 2022 (1 year 3 months) 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 (1 year) at Metaliquid, Italy
At this research-focused AI company, 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 academic publications while bridging the gap between theoretical AI and commercial implementation.
Data Scientist at EnergyWay
From Aug 2019 to Dec 2019 (4 months) 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.