Creating a study/learn copilot and support system for scientific advisors. Worked from the design to implementation: using different LLMs in different steps (some would call it agents), RAG, evaluation, observability, guardrails, tests and regression tests. The goal is to allow humans to get up to speed on the current research, compare different approaches, learn about recent advancements and changes in the scientific consensus.
Designed NLP systems to automate advanced customer support workflows, ensuring accuracy and efficiency.
In charge of researching, developing, and comparing transformer-based architectures to predict molecule absorption, distribution, metabolism, excretion, and toxicity (ADMET) features from the simplified molecular-input line-entry system (SMILES) representation. Adapted published research code to the production environment.
Implemented techniques to extract actionable insights from emails and transcripts, focusing on fine-tuning LLMs, some prompt engineering, and simpler NLP techniques.
Building infrastructure on AWS, building and securing tools to enable data scientists to be faster, packaging of models, CI/DP
Software engineering specific to translation and localization of Siri (user interfaces and back-end) into Italian.
Work on data analysis and datamining, using personally developed tools in perl and Javascript. (This was when Yahoo! was interesting)
I am an AI, ML, and NLP engineer with more than two decades of diverse experience across various industries. I specialize in aligning technical systems (not only AI) with human-centered values and enabling people to shine through thoughtfully designed technology. As a software engineer focused on AI, particularly NLP, I navigate the realm where technology meets humanity, ensuring that AI serves human goals effectively. My interest is in allowing humans to shine at what we are best at, letting machines do what is best automated.
Beyond technology, I teach technical and non technical skills, facilitate workshops, and coach individuals, combining technical and soft skills to empower teams and individuals.
My approach is pragmatic, human-centered, and informed by ethical principles.
Notable strengths and personal bits
Machine Learning (ML) & NLP:
Software Development:
Design Principles:
Technical Leadership:
Facilitation & Coaching:
Possibly noteworthy:
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