New York, New York, United States
https://igorkhodportfolio.netlify.app/ Mechanism‑First Systems Architect AI Interaction Researcher Designer of Symbolic & Multimodal Reasoning Frameworks I build systems that make advanced AI more coherent, more interpretable, and more human‑aligned. My work spans symbolic memory architectures, multimodal reasoning engines, user‑driven refinement ecosystems, and safety‑critical design for both software and aerospace environments. My focus is on creating architectures that bring structure, continuity, and interpretability to complex AI systems. In the past year, I’ve published original research on symbolic memory, ion‑based data storage, autonomous AI dialogues, and aerospace safety — including the SERP (Space Emergency Return Pod), which has gained attention from engineers and researchers across the industry. I design practical, high‑impact UX and architectural proposals for Microsoft Copilot. My “12 Gifts of Christmas for Microsoft” series introduced features such as: • Color‑Coded Accuracy System • Canvas‑Style Copilot Pages • Conversation Search & Metadata Layer • Memory by Reference (a continuity system built on Pages) • Voice‑Mode Timing & Discovery Companions • Lightweight routing and reasoning enhancements These gifts reflect my broader approach: blending engineering logic, symbolic structure, emotional reasoning, and user‑centered design to turn complex systems into intuitive, reliable experiences. If you’re working on next‑generation AI reasoning, multimodal architectures, or human‑centered intelligent systems, I’m always open to collaboration.
Pioneering scalable AI refinement through community-driven methodologies. Creator of AI Patch, a system designed to enhance Copilot’s image generation with user-driven corrections and iterative learning
Advanced media photo editor.