Khalid Hussain@sheikh_khalid_hussain

NarrativeIQ is a warehouse-first intelligence platform built to answer not just what happened, but how the narrative evolved. It reconstructs the full lifecycle of global event stories — how ideas emerge, spread, peak, and fade across digital platforms.

AI-powered productivity dashboard. Core philosophy: the interface adapts to the human, not the opposite. It continuously monitors working patterns and automatically restructures its layout, widgets, and AI guidance based on your current cognitive state.

CyberShield is an immersive, full-stack, real-time web application designed to demonstrate cyber attack vectors and cryptographic defenses in a controlled educational environment. It bridges the gap between CNS theory and real-world system operations.

Manufacturing quality teams need to connect a changing defect trend to the production lot and evidence behind it. LotLens turns timestamped inspection readings into an explainable drift alert, identifies the affected line, lot, and time window, and presents the supporting readings alongside synthetic procedure excerpts. The detector calculates its baseline and alert locally using a transparent sustained-change rule. When AMD model access is configured, an AMD-hosted open model turns the calculated finding and supplied procedure excerpts into a concise investigation brief with source-linked possible checks and visible uncertainty. The model does not calculate the alert or determine a root cause. A quality lead reviews the finding and decides what to do. LotLens also includes an inventory-impact workflow that maps an alerted lot to a synthetic SKU and order snapshot. It compares affected reservations and unallocated orders with unaffected stock, then presents a human-reviewed allocation suggestion. It does not change inventory or orders. The demo uses synthetic readings and synthetic procedure excerpts, including a factory-derived synthetic fixture that is not an independent production export. LotLens has no live factory or inventory connection and is not validated for industrial quality control.

PARALLAX built Tablelight for the tablekeeper track: a restaurant reservation service developed by a three-seat factory in BAND Desktop. The Planner scopes a complete stage task and coordinates integration, the Implementer owns a separate implementation slice, and the Reviewer independently checks the requirements and rechecks corrections. The factory carried one service through four stages: an idempotent reservation API with atomic operations; a browser booking flow and combined tables; effective-dated policies, truthful reservation history, and recurring reservations; then deterministic closure replanning and recurring-series amendments. During Stage 4 review, the Reviewer found that a standalone booking did not advance the restaurant revision, allowing an old closure preview to appear current. The fix corrected revision accounting, and the Reviewer reproduced the stale-plan rejection on the exact corrected commit. The cumulative isolated harness reported 120/120 Stage 1, 25/25 Stage 2, 7/7 Stage 3, and 6/6 Stage 4 checks, claiming Stage 4. BAND displayed an estimated $4.24 for the main room and $0.07 plus $0.01 for setup rooms. Separate agent-card estimates total $4.31 and do not reconcile with room-header figures, so we report them separately. Total hands-on time was not measured. The public repository contains the factory documentation, generic mandates, room export, stage services, run instructions, and evidence.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Online Hackathon | 💻 Online Build: Sept 26 - Oct 5, 2026 A virtual, global hackathon. Build from anywhere in the world. Dark Factory is the official hackathon of WeAreDevelopers World Congress North America, presented by BAND, but you don't need to be in San Jose to take part. For one week, you build a software factory in BAND Desktop: a band of coding agents that plans work, implements it and checks its own results. 🎟️ Bonus for sign-ups: you are eligible for a free ticket to WeAreDevelopers World Congress North America in San Jose (Sep 23–25). If you do go, stop by the BAND booth: a surprise is waiting for you.