Public commitment to mastering systems engineering, quantitative finance, and verifiable computation.

State • Uncertainty • Control • Verification

• State Engine — deterministic, replayable state transitions
• Control System — feedback, stability, estimation
• Quant Engine — stochastic modeling, risk, Monte Carlo
• ZK Layer — prove computations without exposing private inputs
• Unified System — State + Risk + Control + Proof

Learn

• Probability
• Stochastic processes
• Monte Carlo
• VaR / CVaR
• Risk modeling

Build

• Trading risk engine
• Exposure + drawdown monitoring
• Risk constraint system

Deliverable: Trading Risk Stabilizer

Learn

• Finite fields
• R1CS
• zk-SNARKs
• zk-STARKs
• Verifiable computation

Build

Private State
     ↓
Computation
     ↓
ZK Proof
     ↓
Verifier

Deliverable: Verifiable Computation

Build

Proof-of-Funds API

• Private financial state
• Deterministic computation
• ZK proof generation
• Verification endpoint
• Proof logging

Deliverable: Verifiable Backend

Learn

• Linear algebra
• State-space models
• Controllability
• Observability
• LQR

Build

State → Estimator → LQR → Plant → Feedback

Deliverable: Optimal Control System

Build

Prove:

Risk constraints satisfied

without revealing:

Trades
Positions
Strategy

Deliverable: Proof of Risk Compliance

Combine:

State
 ↓
Dynamics
 ↓
Estimation
 ↓
Control
 ↓
Risk
 ↓
Policy
 ↓
Action
 ↓
Ledger
 ↓
Proof

Deliver

• GitHub repository
• Architecture diagram
• Tests
• Technical write-up
• Working demonstration

Flagship: Verifiable Financial State Machine

2026:

Understand the primitives.

2027:

Build autonomous systems.

Focus areas:

• Physical systems
• Propulsion
• FADEC
• Autonomous vehicles
• Quant agents
• Sovereign Agent Runtime
• Verifiable agents
• Agent networks

Long-term:

STATE
 ↓
CONTROL
 ↓
RISK
 ↓
POLICY
 ↓
ACTION
 ↓
PROOF
 ↓
RUNTIME
 ↓
AGENT
 ↓
NETWORK
 ↓
INSTITUTION

I don't just model systems. I control them, verify them, and build them to operate autonomously.