AI Engineer with 3+ years of experience, specialising in DL systems in high-stakes environments. Hands-on experience in moving research prototypes to reliable systems, most notably a medical diagnostic endto-end AI pipeline with hybrid deployment across edge, AWS, and GCP to serve 4500+ patients in hospital production environments (92% accuracy approaching cardiologist-level performance, EU AI Act compliant). Technical depth: computer vision for medical imaging (CNNs and RNNs for segmentation, object detection; diffusion models for synthetic medical image generation), NLP with LLM integration (fine-tuning, retrieval systems, Dynamic RAG for a 40% cost reduction through prompt optimisation), MLOps infrastructure (CI/CD, multi-cloud AWS/GCP, edge deployment achieving sub-100ms latency). Proven ability in handling real-world complexity: distribution shift, legacy system integration, regulatory compliance (GDPR, EU AI Act). Interdisciplinary training enabling stakeholder translation and team coordination; findings presented at a national healthcare conference.

Camilla Raffoni

AI Engineer with 3+ years of experience, specialising in DL systems in high-stakes environments. Hands-on experience in moving research prototypes to reliable systems, most notably a medical diagnostic endto-end AI pipeline with hybrid deployment across edge, AWS, and GCP to serve 4500+ patients in hospital production environments (92% accuracy approaching cardiologist-level performance, EU AI Act compliant). Technical depth: computer vision for medical imaging (CNNs and RNNs for segmentation, object detection; diffusion models for synthetic medical image generation), NLP with LLM integration (fine-tuning, retrieval systems, Dynamic RAG for a 40% cost reduction through prompt optimisation), MLOps infrastructure (CI/CD, multi-cloud AWS/GCP, edge deployment achieving sub-100ms latency). Proven ability in handling real-world complexity: distribution shift, legacy system integration, regulatory compliance (GDPR, EU AI Act). Interdisciplinary training enabling stakeholder translation and team coordination; findings presented at a national healthcare conference.

Available to hire

AI Engineer with 3+ years of experience, specialising in DL systems in high-stakes environments.
Hands-on experience in moving research prototypes to reliable systems, most notably a medical diagnostic endto-end AI pipeline with hybrid deployment across edge, AWS, and GCP to serve 4500+ patients in hospital
production environments (92% accuracy approaching cardiologist-level performance, EU AI Act compliant).
Technical depth: computer vision for medical imaging (CNNs and RNNs for segmentation, object detection;
diffusion models for synthetic medical image generation), NLP with LLM integration (fine-tuning, retrieval systems,
Dynamic RAG for a 40% cost reduction through prompt optimisation), MLOps infrastructure (CI/CD, multi-cloud
AWS/GCP, edge deployment achieving sub-100ms latency). Proven ability in handling real-world complexity:
distribution shift, legacy system integration, regulatory compliance (GDPR, EU AI Act). Interdisciplinary training
enabling stakeholder translation and team coordination; findings presented at a national healthcare conference.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Language

English
Fluent
Italian
Fluent
French
Advanced
Spanish; Castilian
Beginner

Work Experience

Production Engineer (H.E.A.R.T. System Deployment) at Artificial Intelligence Lab, DISPOC (University of Siena) / Centro Chirurgico Toscano / SAIMA
July 1, 2025 - March 1, 2026
Led production deployment of the H.E.A.R.T. (Healthcare Ecosystem Advanced Reporting & Tracking) system, bridging AI researchers and clinicians, ensuring regulatory compliance (EU AI Act, GDPR) and hospital-scale deployment. Coordinated cross-functional teams and prepared findings for national conferences; implemented ground-truthing and interpretability gates to support clinician verification.
Engineer at Vodafone
March 1, 2023 - July 1, 2023
Joined the Engineer Team & Support Centre to support telecom projects and AI/ML deployment initiatives, contributing to robust engineering practices and cross-functional collaboration within a large enterprise environment.
AI Lab Research Intern at University of Siena – AI Lab (DISPOC) / Ufficio Inclusione
October 1, 2024 - June 1, 2025
Provided organizational support for outreach programs; designed personalised study plans to improve accessibility; developed a conversational UI for an AI customer service assistant through user research; proposed integration pathways for existing infrastructure, balancing automation with human-centered experiences.
AI Engineer at Artificial Intelligence Lab, University of Siena; Centro Chirurgico Toscano; SAIMA
July 1, 2025 - March 31, 2026
Led the production deployment of the H.E.A.R.T. (Healthcare Ecosystem Advanced Reporting & Tracking) system; built a hybrid edge-cloud architecture with specialist neural networks for echocardiography segmentation and ECG time-series analysis, integrated multimodal LLM using Dynamic RAG, applied model compression and quantization to reduce costs and meet latency with <100 ms edge inference, implemented ground-level evidence grounding to reduce hallucinations, and established validation protocols and quality gates to enable clinician verification.
AI Lab Research Intern at UNISI AI Lab | Ufficio Inclusione
October 1, 2024 - June 30, 2025
Provided organizational support for marketing campaigns and student outreach programs; designed personalized study programs for BES and DSA; developed conversational UI for an AI customer service assistant; prepared integration proposals to align new AI capabilities with existing infrastructure.
Guest Lecturer at Università degli Studi di Siena
October 1, 2025 - February 1, 2026
Guest Lecturer for courses on Machine Learning in Generative AI and Technology & Sustainable Development; shared industry insights, guided student projects, and contributed to curriculum discussions (A.Y. 25/26).

Education

Master’s Degree in Communication Strategies & Experience Design at Università degli Studi di Siena
January 1, 2023 - January 1, 2025
Bachelor’s Degree in Political Science, Public and International Relations at Università degli Studi di Bologna
January 1, 2019 - January 1, 2022
Foundation in Systems Analysis, Policy Frameworks, Stakeholder Dynamics at Liceo Scientifico N. Copernico, Bologna
January 1, 2014 - January 1, 2019
Master's Degree in Communication Strategies & Experience Design at Università degli Studi di Siena
January 1, 2023 - December 31, 2025
Bachelor's Degree in Political Science, Public and International Relations at Università degli Studi di Bologna
January 1, 2019 - December 31, 2022
Liceo Scientifico at Liceo Scientifico N. Copernico
January 1, 2014 - January 1, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet, Education, Professional Services, Life Sciences