I am a highly analytical AI Engineer specializing in Generative AI, Agentic Workflows (MCP, Multi-Agent Orchestration), and Deep Learning. My professional edge is built on the intersection of rigorous technical research and a multiyear corporate career in Strategic Consulting and Global Finance (Citibank, UniCredit, PwC).
Over the last 2.5 years of intensive engineering immersion, I have transitioned from evaluating strategic equity to architecting production-ready AI systems. I don't just build models; I design deterministic, fault-tolerant pipelines where technical precision meets business governance.
- Email:
fvalerii@gmail.com - LinkedIn: linkedin.com/in/fabriziovalerii
- Location: Panama City, Panama
- Agentic & Generative AI: LangGraph, CrewAI, BeeAI, AG2, Model Context Protocol (MCP), Large Language Models (LLMs), Diffusion Models, IBM Watsonx.
- Production RAG & Data Prep: LangChain, LlamaIndex, Docling, MultiModal Processing, Knowledge Graphs (Neo4j), Vector Databases (ChromaDB, FAISS).
- Computer Vision: Vision Transformers (ViT), Hybrid CNN-ViT Architectures, Variational Autoencoders (VAEs), Image Processing (OpenCV).
- Deep Learning & Probabilistic: PyTorch, TensorFlow/Keras, TensorFlow Probability, Normalizing Flows, Bayesian Neural Networks, Uncertainty Quantification.
- MLOps & Cloud: Python (Expert), SQL (BigQuery), Vertex AI Pipelines, Kubeflow, Google Cloud Platform (GCP).
##🚀 High-Impact Portfolio & Hackathons
- Associated With: Agent Master - Digital Agentic AI Hackathon (Founderz)
- Core Logic: Real-time multi-agent orchestration built on Azure AI Foundry.
- Achievements: Engineered a production-grade system to automate industrial fault diagnosis. Features Agentic RAG grounded in official equipment manuals, dynamic external database queries for live spare-part inventory, and a strict Human-in-the-Loop (HITL) approval gate before autonomously opening CMMS work orders.
- Associated With: HackerRank Orchestrate (24-hour Hackathon)
- Core Logic: Deterministic, state-graphed agentic vision pipeline.
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Achievements: Built a production-minded system to verify insurance-style damage claims by synthesizing images, chat logs, and user history. Designed with strict Pydantic schemas, safety guardrails, provider failover mechanisms, and a mocked end-to-end evaluation suite running offline in
$\sim 2$ seconds.
- Core Logic: Self-correcting retrieval workflow with Multi-Tenant Isolation.
- Achievements: Architected a pipeline utilizing IBM Watsonx and a Granite-4 verification loop to eliminate hallucinations. Implemented Docling and hybrid retrieval (BM25 + ChromaDB) to automate high-fidelity technical document synthesis.
- Core Logic: Benchmarking Framework Parity (PyTorch vs. TensorFlow).
- Achievements: Integrated CNN feature extractors with Transformer self-attention blocks to capture global spatial relations. Achieved >99% accuracy and 1.000 ROC-AUC across both framework implementations.
- Core Logic: Generative Latent Space Organization.
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Achievements: Used Normalizing Flows for custom data generation and a VAE with
$\beta$ -weighting to force clear latent-space organization. Validated performance with a 0.4473 FID score, proving near-identical statistical distribution to real data.
##🎓 Certifications & Advanced Academic Research
- MITx MicroMasters in Statistics and Data Science (In Progress, MIT/edX)
- Completed: Probability - The Science of Uncertainty (6.431x), Machine Learning with Python (6.86x), and Learning Time Series with Interventions (IDS.S24x).
- STATSX0001: Statistical Learning (Stanford Online)
- MSc in Management Engineering (Politecnico di Milano)
- MITx Micromasters in Statistics and Data Science (In Progress, MIT/edX)
- Completed: Probability - The Science of Uncertainty (6.431x), Machine Learning with Python (6.86x), Learning Time Series with Interventions (IDS.S24x).
- Model Context Protocol (MCP) Mastery (Anthropic/Fractal Analysis)
- Building Diffusion Models (Fractal Analysis)
- IBM RAG & Agentic AI Professional Certificate
- Google Cloud Professional Machine Learning Engineer (Preparation Completed)
- IBM GenAI Engineering Professional Certificate
- IBM Deep Learning Professional Certificate
- TensorFlow 2 for Deep Learning Specialization (Imperial College London)
- Google Advanced Data Analytics Professional Certificate
Before dedicating my career to AI architecture, I spent over two decades driving operational excellence and capital allocation in the financial sector:
- Chairman and Owner, Strategic Project Overseas Inc.: Oversaw private equity investments in young technology companies, focusing on strategic valuation and operational due diligence.
- Equity Trader (Independent): Developed and executed proprietary investment strategies based on technical and fundamental analysis of financial markets.
- Organization Manager, Pioneer Global Asset Management: Coordinated large-scale business rationalization, process optimization, and project management (PRINCE2) for Asset Management division of the UniCredit Group.
- Senior Business Consultant, PWC Consulting: Participated in projects in the financial sector in the areas of strategy, company restructuring, and implementation of IT systems.
- Telephone Banking Head, Citibank: Implemented the Telephone Banking unit of Citibank in Italy from the ground up and subsequently managing its operations.
Polyglot: Italian (Native), English (Advanced), Spanish (Advanced), Portuguese, French, German.
When I am not optimizing transformer workflows or writing Python scripts in Cursor, I manage Cats of Panama, an international animal rescue and adoption platform.