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Francesco Greca

@francesco-greca

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AI Engineer specializing in Generative AI, NLP, and scalable Python-based LLM applications.

Spain

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What I'm looking for

I seek product-focused roles building scalable Generative AI/NLP systems, collaborating cross-functionally to deliver measurable impact and grow technical ownership.

I am an AI Engineer focused on designing high-impact Generative AI and NLP solutions, with hands-on experience building transformer-based models (BERT, RoBERTa), GLiNER and spaCy pipelines, and hybrid rule-based plus generative systems. I deliver end-to-end Python solutions, deploy scalable cloud-native services (AWS, Azure), and translate complex business requirements into production AI features with measurable impact.

Across roles I have reduced workflow time and inference costs substantially, led integrations with CRM and voice/virtual assistant platforms, and implemented benchmarking and monitoring solutions to drive data-driven model decisions. I collaborate closely with product teams, linguists, and engineers to iterate rapidly and own feature delivery in agile environments.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Fujitsu

Sep 2025 - Present (5 months)

Developed end-to-end NLP pipelines to detect engineering neologisms using Transformer models (BERT, RoBERTa), GLiNER and spaCy, and implemented hybrid rule-based + generative extraction via AWS Bedrock, improving inference scalability and enabling data-driven model selection.

NLP Transformers RoBERTa SpaCy AWS Lambda S3 EC2 MLFlow Python Model Evaluation

Generative AI Engineer

Boolea

Jan 2025 - Sep 2025 (8 months)

Delivered a sales-point classifier using OpenAI APIs and Python that reduced manual workflow time by 40% and cut inference costs by 50% by migrating to OpenAI Batch API; integrated generative capabilities into Salesforce to automate data entry.

Generative AI OpenAI API Batch Python Salesforce Cost Optimization fastAPI RAG Prompt Engineering

AI Engineer

Ernst & Young

Jun 2024 - Jan 2025 (7 months)

Built and deployed AI-driven virtual and voice assistants using Microsoft Bot Framework and Azure AI, integrated OpenAI models to improve response accuracy by 30%, and prototyped RAG solutions to support client GTM and technical sales.

Microsoft Bot Framework Microsoft Azure OpenAI RAG Deployment Python Azure

AI Research Intern

LIDIA Laboratory

Sep 2023 - Dec 2023 (3 months)

Researched EEG signal classification for sleep stage prediction using traditional ML and deep learning, developed Python preprocessing pipelines for biomedical datasets, and documented experiments to ensure reproducibility.

Signal Processing EEG Deep Learning Python data preprocessing Machine Learning Experimentation Biomedicine

Education

Degrees, certifications, and relevant coursework

University of Milan

Bachelor of Science, Computer Science and Technology

2020 - 2024

Activities and societies: Thesis on K-Complex detection; full-stack music community project using Spotify APIs.

Completed a Bachelor of Science in Computer Science and Technology with a thesis on K-Complex detection in sleep stages using machine learning and a full-stack project integrating Spotify APIs.