Tailored digital solutions for businesses
Tailored digital solutions for businesses
Independent AI Architect&Strategist EU AI ACT&OWASP
Independent AI Architect&Strategist EU AI ACT&OWASP
This production-ready Hotel Voice Assistant integrates Google Gemini 2.0 with a scalable Flask/Waitress backend to power fluid, context-aware conversational booking experiences in Spanish.
It leverages a distributed Redis session store for stateful multi-turn memory, backed by native Function Calling to stream live availability and real-time pricing directly from the Amadeus GDS API.
Engineered with an "auditability-by-design" framework, the architecture implements pluggable callback hooks and strictly aligns with the OWASP Agentic Top 10 (2026) to mitigate multi-agent risks and secure user data.
1
87
Industrial AI replaces opaque, high-cost LLMs with deterministic, hybrid architectures built specifically for high-risk, heavily regulated enterprise environments.
It leverages glass-box explainability (like EBMs) and cascading NLP pipelines to resolve up to 80% of operational traffic at zero token cost and sub-millisecond latency on CPU.
By embedding continuous statistical drift monitoring (KS-test/PSI), it translates raw telemetry into audit-ready assets, guaranteeing strict compliance with the EU AI Act and ISO 42001.
1
37
Production-ready multi-agent system demonstrating Agentic AI principles. Built with LangGraph for workflow orchestration, FastAPI for the API, and OpenAI GPT-4. Features autonomous decision-making, tool use, and multi-agent collaboration for intelligent data analysis and strategic recommendations.
0
60
Most ML projects that win Kaggle would not survive a regulatory audit in 2026. This one is built specifically to do both competitive performance AND audit-ready by design.
Insurance claim prediction (Porto Seguro dataset, 3.6% positive class, highly imbalanced) implemented end-to-end with EU AI Act, Solvency II and ISO 42001 compliance as the architectural starting point not as a documentation afterthought.
Four pillars:
MLOps & Shadow Monitor Architecture. Vendor-agnostic monitoring layer that reads inference logs independently from the production model (Azure ML / SageMaker / Vertex AI). KS-test drift detection in real time. Zero vendor lock-in. The Shadow Monitor is the answer to "how do you audit a black-box cloud ML service?"
Explainability vs Performance trade-off, decided with evidence. EBM (Explainable Boosting Machine) chosen over XGBoost/LightGBM. ROC-AUC 0.608 vs 0.64-0.65 for XGBoost a 4% performance cost in exchange for native glass-box explainability that regulators accept without SHAP post-hoc workarounds. The right call for regulated industries, the wrong call for tech.
Threshold optimization on imbalanced data. Default scikit-learn 0.5 threshold yields F1 ≈ 0 on this dataset a model that "performs at 96.4% accuracy" is in fact useless. Custom F1-Score curve finds the optimal decision boundary at 0.091. The difference between a Kaggle submission and a production system.
Automated Compliance Dashboard. Fairness (demographic parity, equalized odds, protected-attribute analysis), Transparency (feature-level contributions, full documentation), Accountability (model card, ADRs, governance framework, human-in-the-loop). Maps directly to EU AI Act high-risk requirements, Solvency II model validation, and ISO 42001 controls. Why Polars over Pandas?
Built in Rust, 5-12x faster, lazy evaluation, native multi-threading. For production ML under EU AI Act, processing speed on inference logs is not a nice-to-have it's an audit requirement. Template replicable for banks, insurers, healthcare, and any organization where ML decisions need to defend themselves in front of a regulator.
0
53
Lead video editor for commercials and documentary.
Graphic Designer and Illustrator
Graphic Designer and Illustrator
Lead Data Analyst. Data Engineering and Visualization Expert
Lead Data Analyst. Data Engineering and Visualization Expert
Product designer and Webflow developer
Olimpo is a productivity app I created to turn a life goal into concrete tasks for each day, with an AI planner and an AI coach. I designed the landing page that sells the app and built it in Webflow with Client-First, Components, Variables, and the CMS. Case study: joaomob.com/olimpo
0
6
Redline MD reviews physician employment contracts in 24 hours. As a Foundey design challenge, I redesigned its Google Ads landing page mobile-first and built it in Webflow, from the research and the copy to the interactive contract demo and the calculator. Case study: joaomob.com/redline-md
0
8
BrandonBase.com
BrandonBase.com
UX/UI Junior Designer
UX/UI Junior Designer
