// IDENTITY

Muhammad Afsah Mumtaz — NAME0x0

I build machines that think, on hardware that shouldn't be able to.

Dubai, UAE · UAE Golden Visa — no sponsorship needed

// METAL

MALD

SHIPPED

Single-binary local PKM: SQLite FTS5 + HNSW hybrid search, cited RAG chat to exact file/line via Ollama.

repo

pane

SHIPPED (MVP)

Real Linux desktops on Windows via WSL2/XRDP from one control surface; Arch-first MVP shipped as pane.exe.

repo

MAVIS

SPEC / IN PROGRESS

Windows shell environment — spec phase.

repo

Terminus

SPEC / IN PROGRESS

Terminal environment for Windows — spec phase.

repo

// VOICE

The interface layer is where machines meet people.

WebDesk

SHIPPED

Any website, video, or shader as a live Windows wallpaper.

repo

// PROOF

AVA

A 2B model fine-tuned to beat Llama 3.2 3B on ARC — with a 42 MB adapter on a 4 GB GPU.

Research/training stack for a tool-using, memory-aware assistant targeting 4 GB VRAM (RTX A2000 laptop). 17-benchmark, 16,872-task eval harness. Custom Triton kernel work, verifier-RL, external memory, published HuggingFace adapter.

MetricValue
ARC-Challenge82.0%
ARC-Easy92.0%
Llama 3.2 3B-Instruct baseline78.6%
MMLU 5-shot59.2%
GSM8K (greedy / k=5)35.3% / 44.0%
Adapter size42 MB
Training peak VRAM1.81 GB
Eval harness17 benchmarks / 16,872 tasks
/work/ava

neural-nets

SHIPPED

Six-chapter interactive in-browser curriculum: linear algebra → calculus → backprop.

repo

// COUNCIL

Pantheon-Trades

LIVE

Eleven AI agents deliberate every prediction-market trade; refusals are recorded on-chain.

Multi-agent deliberation + calibration + on-chain accountability infrastructure on Arc Testnet / Polymarket CLOB. Half-Kelly sizing, Platt/isotonic calibration, public /methodology, /council and /counter-evidence pages, 11-provider LLM fallback chain.

MetricValue
Council Brier score0.149 (200-market backtest)
Human consensus Brier (same markets)0.126
Single-shot LLM Brier (same markets)0.260
Python tests714
Solidity tests + Halmos symbolic checks65 + 12
Agents11

// BLUEPRINT

RESEARCH IN PROGRESS — projections, not measurements

OMNI / PERSPECTIVE v2

Architecture research targeting a 1.05T-parameter sparse MoE on consumer hardware.

Research + in-progress implementation TARGETING 4 GB VRAM + 32 GB RAM via layer streaming, ternary {-1,0,+1} weights, O(1) perspective-decay recurrence, top-1 routing over a 3D torus manifold (8×4×4 expert lattice), holographic distributed memory, safety polytope projection. Throughput figures are projected by bandwidth model, not measured.

MetricValue
Tests passing243
Parameters1.05T (design target)projected
Active parameters per token14.95B (top-1 routing)projected
Expert lattice8×4×4 on 3D torus
Decode throughput~10–11 tok/s (bandwidth model)projected
/work/omni

// LIGHT

AGI-Ledger

A version-controlled observatory of human belief about AGI.

Each take is a star in a 3D belief-space. ~22 seeded takes from named AI figures. Every take answers "what would change my mind?".

// HUMAN

Muhammad Afsah Mumtaz

Affiliations

  • Chairman, MDX Computing Society
  • Committee Chair, BCS Student Chapter
  • 2× hackathon runner-up (Odoo Hackathon Dubai; Curtin University Dubai, Nov 2025)

Open source

  • FluentFlyout auto-update system
  • HAGI research contributor

Open to

  • AI/ML/software engineering internships and junior roles (Dubai/Abu Dhabi or remote)
  • Freelance / contract web work
photos ->

Tangled

SHIPPED

Quantum-entanglement-between-browser-windows toy.

repo