Lorenzo Germini

AI Engineer who likes to build cool stuff to create meaningful impact for people at scale

Turin, Italy, CET

LG

About

Results-driven AI Engineer with a track record of building and deploying Generative AI solutions that deliver tangible business value, demonstrating both technical leadership and product acumen. I have demonstrated my ability to collaborate with cross-functional teams to deliver data-driven insights and create business value in fast-paced environments in both Pharma and Startup sectors. Driven by insatiable curiosity and a passion for learning, I continuously improve my skillset through dedicated self-development. In my free time, I engage in sports, work on personal projects, and voraciously consume content on tech entrepreneurship, personal finance, and biohacking.

Work Experience

Stealth GenAI Startup
Turin, Italy

Nov 2024 - Present

Founding AI Engineer

Spearheaded the development of a Generative AI-powered web application, architecting and implementing the backend infrastructure on AWS (DynamoDB, Amplify, Lambda) and Generative AI API layer (OpenAI & Gemini with structured outputs) from the ground up.

Engineered a robust Retrieval-Augmented Generation (RAG) application utilizing pgai, incorporating custom-built and state-of-the-art parsing pipelines to handle diverse input formats containing both machine-readable and handwritten text.

Set up LLM tracing (LangSmith) and evaluation pipelines to enable systematic refinement of prompts, LLM outputs and RAG parameters.

Oversaw the development team in collaboration with the Product Manager, taking on a leadership role in addition to core engineering responsibilities for the MVP, and contributing significantly to product strategy.

GSK
Lille, France

Aug 2024 - Oct 2024

AI Engineer - AI, Digital Twins & Intelligent Autonomous Systems

Developed a POC for an anomaly detection system leveraging Sentence Transformers for semantic clustering of maintenance reports and anomaly descriptions.

Implemented time series forecasting models for predictive maintenance, combining NLP insights with temporal patterns to enhance fault prediction in pharmaceutical manufacturing equipment.

Explored generative AI use cases, including the use of agents, to optimize production processes and enable intelligent decision-making.

GSK
Saint-Amand-les-Eaux, France

Sep 2023 - Jul 2024

Data Scientist - Technical Services

Led comprehensive analysis of multi-source sensor data for water consumption optimization, implementing Python to identify inefficiencies in Distillators and WFI systems. Designed and managed water rejection strategies projected to save 10,000 m³ annually through combined hardware upgrades and real-time software optimization.

Created a Streamlit analytics dashboard for clean utilities equipment to monitor KPIs, enabling proactive maintenance and reducing reliance on external companies. This innovation saved costs, cut manual data inspection time by 50%, and earned a silver recognition award for its impact on operational efficiency.

Developed a proof-of-concept combining gpt-4o-mini and PandasAI to enable natural language interactions with operational data. Built a conversational interface allowing users to query complex datasets through natural language, automatically generating relevant visualizations and data-driven insights.

Self Employed
Cuneo, Italy

Nov 2022 - Aug 2023

Teacher and Digital Freelancer

Taught Math and Physics at my high-school alma mater, reconnecting with my hometown community. Shared my passion for STEM and fostered a renewed sense of purpose before the next chapter of my career.

Developed an interior design MVP using Stable Diffusion, implementing Dreambooth fine-tuning on personally curated datasets of room designs. Created custom training datasets through careful selection and preprocessing of interior design examples.

Led comprehensive market research and user outreach efforts, engaging with interior design firms and potential customers to validate product-market fit. Leveraged insights to make a data-driven decision to conclude the project.

Burgeon Labs
Geneva, Switzerland

Feb 2022 - Oct 2022

Engineering Intern

Developed and deployed a Generative AI tool for biomedical literature analysis, leveraging fine-tuned language models trained on curated scientific datasets. Implemented an end-to-end pipeline for abstractive text summarization.

Collaborated with the CEO to define product management strategies and streamline business processes for the company's first digital health product, successfully establishing a partnership with a renowned clinic.

Actively engaged with various business functions to understand user needs and drive impactful solutions, demonstrating a strong commitment to improving health outcomes through technology.

Roche
Basel, Switzerland

Jul 2021 - Oct 2021

Summer Intern - 'Think Tank in Innovation & Sustainability'

Managed development of customized filling machine prototype for personalized drug supply, including hardware-software integration testing and collaboration with external partners.

Improved tuning of filling prototype by creating a Machine Learning model (gradient-boosted tree) to optimize fill parameter determination for Personalized Medicine solutions, reducing tuning time by 20% compared to manual methods.

Emphasized the practical applications of machine learning to drive innovation in personalized medicine, showcasing ability to translate technical expertise into real-world impact.

Education

Swiss Federal Institute of Technology Lausanne (EPFL)

2020 - 2022
MSc in Life Sciences Engineering (specialization in Neuroscience & Neuroengineering)

Polytechnic of Turin

2017 - 2020
Bachelor's Degree in Electrical Engineering

Skills

Generative AI
LLMs
RAG
Python
Data Science
AWS