Simone Montali

Senior ML Software Engineer (Tech Lead)

I drive multiple cross-functional v-teams focused on two critical pillars of modern AI: Edge Inference and Data Infrastructure.

My primary focus is the platformization of Large Language Model (LLM) inference for wearable devices. I oversee the complex engineering challenges involved in transitioning research prototypes into robust, production-grade systems capable of serving millions of users under strict on-device compute and latency constraints.

Simultaneously, I lead the technical strategy for an internal Data Retrieval Engine, a platform designed to solve the data bottleneck for foundation model training. By leveraging agentic workflows and semantic sampling, I developed a pipeline that replaced manual curation with automated sources—reducing data collection costs by an estimated $4M.

Machine Learning Software Engineer (YouTube Shopping)

My core focus was engineering the ranking and recommendation algorithms that power shopping experiences on YouTube. I led a cross-functional initiative to integrate Large Language Model (LLM) embeddings into the ranking stack, improving video understanding signals across multiple geographies.

Beyond core modeling, I managed the system reliability for massive global scale. I served as the Technical Point of Contact (POC) for critical commercial events like Black Friday and Cyber Monday, ensuring zero downtime and system stability during peak traffic periods.

Machine Learning Software Engineer (ML Infrastructure)

As a Founding Engineer for a proprietary internal ML/LLM platform, I focused on ML infrastructure, tool development, and analytics. I engineered the backend systems that streamline the transition from experimentation to production, including the development of internal tools for prompt engineering and model evaluation.

I spearheaded the integration with high-performance serving infrastructure, enabling seamless one-click deployment of Large Language Models. Additionally, I re-architected the platform's analytical stack backend to handle real-time visualization for large-scale quality experiments. This work directly enabled the automation of key revenue-generating pipelines, driving a $100M revenue uplift.

Consultant / Full Stack Developer

I operated as a Full Stack Developer and Technical Consultant, delivering end-to-end software solutions for medium-sized enterprises. My work spanned the entire development lifecycle, from architectural design to production deployment.

Technically, I implemented production systems using a diverse stack including TensorFlow and Python for machine learning tasks, alongside React and Node.js for web application development.

CS Teacher

I taught web development and AI to high school girls across Italy as part of the Coding Girls initiative. The program aimed to close the gender gap in computer science by empowering young women with hands-on technical experience and mentorship.

Master's degree, Artificial Intelligence

Graduated with 110/110 cum laude, maintaining a GPA of 4.0. My research focused on Machine Learning, Deep Learning, Reinforcement Learning, and Natural Language Processing.

Exchange Student, Artificial Intelligence

Focused on Reinforcement Learning and Deep Learning.

Bachelor of Engineering - BE, Computer Engineering

Graduated with 110/110 cum laude, four months ahead of schedule as the first-ever graduate in the "Ingegneria dei Sistemi Informativi" program. Maintained a GPA of 4.0/4.0.