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I'm a results-driven AI solution architect and machine learning engineer focused on building scalable, multi-agent systems powered by LLMs. I translate complex regulatory and business needs into practical AI solutions for AML, risk, and intelligence operations. With hands-on expertise in Python, ML frameworks, data pipelines, and cloud platforms, I design trusted AI personas, orchestrate agents, and craft prompts that unlock actionable insights while collaborating with stakeholders to drive strategic AI initiatives.…I'm a results-driven AI solution architect and machine learning engineer focused on building scalable, multi-agent systems powered by LLMs. I translate complex regulatory and business needs into practical AI solutions for AML, risk, and intelligence operations. With hands-on expertise in Python, ML frameworks, data pipelines, and cloud platforms, I design trusted AI personas, orchestrate agents, and craft prompts that unlock actionable insights while collaborating with stakeholders to drive strategic AI initiatives.

Vittorio Pepe

Data Scientist, AI Engineer, AI Prompt Engineer, +2

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I'm a results-driven AI solution architect and machine learning engineer focused on building scalable, multi-agent systems powered by LLMs. I translate complex regulatory and business needs into practical AI solutions for AML, risk, and intelligence operations. With hands-on expertise in Python, ML frameworks, data pipelines, and cloud platforms, I design trusted AI personas, orchestrate agents, and craft prompts that unlock actionable insights while collaborating with stakeholders to drive strategic AI initiatives.…I'm a results-driven AI solution architect and machine learning engineer focused on building scalable, multi-agent systems powered by LLMs. I translate complex regulatory and business needs into practical AI solutions for AML, risk, and intelligence operations. With hands-on expertise in Python, ML frameworks, data pipelines, and cloud platforms, I design trusted AI personas, orchestrate agents, and craft prompts that unlock actionable insights while collaborating with stakeholders to drive strategic AI initiatives.

Available to hire

I’m a results-driven AI solution architect and machine learning engineer focused on building scalable, multi-agent systems powered by LLMs. I translate complex regulatory and business needs into practical AI solutions for AML, risk, and intelligence operations.

With hands-on expertise in Python, ML frameworks, data pipelines, and cloud platforms, I design trusted AI personas, orchestrate agents, and craft prompts that unlock actionable insights while collaborating with stakeholders to drive strategic AI initiatives.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Spanish; Castilian

Fluent

Italian

Fluent

Work Experience

Lead Generative AI Solution Architect at FinINT.AI

September 1, 2023 - Present

Designed and delivered a multi-agent Generative AI platform to automate AML and financial crime compliance. Integrated LLMs (ChatGPT, Claude) with persona modeling, advanced prompt engineering, and workflow automation to extrapolate key insights and red flags from regulatory datasets, agency reports, and global financial news. Implemented intelligent features for content generation, summarization, key point extraction, regulatory compare/contrast analysis, and automated policy updates.

Data Science Lead at Alpha Recon

August 1, 2023 - October 17, 2025

Led the development of the company’s AI strategy and delivered the first AI solution for risk management and crime predictions of physical assets. Built ETL data pipelines on Azure (Data Factory, Data Lake, Synapse) and deployed models (Falcon-40B, BERT, Bard, ChatGPT) within AI/ML Studio. Managed a cross-functional team of 10 and defined the 3-year AI product roadmap with senior leadership.

Data Scientist, Operations Manager at Maritime Active Cyber Solutions

February 28, 2023 - October 17, 2025

Analyzed voyage data (PostgreSQL) and navigation documents (MongoDB) for 300 vessels over five years to improve efficiency. Built predictive models, performed EDA with Pandas/NumPy/Scikit-Learn, and prepared datasets including GPS positions, heading, speed, and fuel consumption for operational decision-making.

Python Developer at NIER Ingegneria

November 30, 2022 - October 17, 2025

Developed a high-performance web application using Python and Flask for the Bologna railway station control system. Implemented efficient XML-to-JSON conversion for large datasets, improving processing time from hours to seconds and resolving XML generation issues.

NavCom BU General Manager & Data Scientist at Tefin

October 31, 2022 - October 17, 2025

Led the NavCom business unit; implemented anomaly detection using multivariate time-series data with an LSTM autoencoder, created an ontology for 1400 service reports, and used TF-IDF with k-means to cluster data to derive a skills matrix and training plans, contributing to revenue growth from $1.5M to $3.5M.