Build useful software
AYQ Solutions developed the discipline of shipping websites business systems and practical digital experiences for real users.
CortexLab is where my AI engineering journey becomes a real product: local intelligence, model education, Academy lessons, interview systems, projects, research experiments and tools designed to make technical learning more practical and inspectable.
AYQ Solutions developed the discipline of shipping websites business systems and practical digital experiences for real users.
The focus expanded into machine learning data science reinforcement learning NLP and production AI engineering.
CortexLab connects lessons projects model dossiers interviews research and a first-party local intelligence stack instead of leaving them as isolated experiments.
Confidence evidence human review memory controls evaluation and failure analysis are treated as product features rather than hidden implementation details.
The goal is not to claim mastery of everything. It is to build broad engineering depth and keep proving it through working systems.
AYQ Solutions focuses on client-facing software websites business systems automation and practical delivery. CortexLab is the technical learning research and intelligence side.
Visit AYQ Solutions ↗Build first-party retrieval models learning loops and evaluation wherever it creates real understanding.
A system earns trust by showing where an answer came from and where confidence is weak.
Projects interviews research and model dossiers should reinforce one connected technical knowledge graph.
Users should be able to inspect learning memory correct weak answers and understand how personalization works.
The chat learning flow and public story should feel intentional on a phone not merely survive on one.
Security observability accessibility deployment data versioning and rollback are part of intelligent systems too.