I am an AI Engineer and Agentic Systems Architect 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 over 20 years of experience in Strategic Consulting and Global Finance (Citibank, UniCredit, PwC).

Over the last 3 years of intensive engineering and advanced data analytics 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: HackerRank Orchestrate Hackathon — Bronze Medal (Ranked 422 / 3,062)
• Core Logic: Hybrid deterministic-plus-LLM financial pipeline.
• Achievements: Architected an affordability agent to evaluate user cash flow, simulate 90-day forecasts, and generate personalized payment schedules. Constrained Claude Sonnet 4.6 exclusively to multimodal vision tasks and NLP explanation, strictly routing all mathematical ledger operations through Python to eliminate financial hallucination.

• Associated With: HackerRank Orchestrate Hackathon — Ranked 383 / 1,983
• Core Logic: Sonnet 5 structured-output reasoning & Gemini 2.5 Flash transcription.
• Achievements: Engineered deterministic security guardrails to block prompt-injection and scam heuristics prior to LLM execution, achieving 100% hard-muting of adversarial rows without wasting API calls. Optimized the system prompt to 2,400 tokens (a 40.5% reduction) while maintaining near-perfect action accuracy and zero hallucinated historical evidence IDs.

• Associated With: HackerRank Orchestrate Hackathon — Bronze Medal (Ranked 209 / 1,773)
• Core Logic: Deterministic, state-graphed agentic vision pipeline.
• 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.

• 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.

• 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.
• 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)

• 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.