Market geometry
Liquidity, displacement, structure, rebalancing and targets.
Gaborone, Botswana · Engineering complete systems
I design and implement systems across quantum-inspired computation, algorithmic trading, governed AI, financial technology, and full-stack platforms—where authority, execution, verification, and evidence remain explicit.
Metrics are portfolio snapshots and remain tied to project-specific validation records; they are not universal claims across every repository.
01 · Quantum computing
The research programme separates established quantum mathematics from experimental engineering claims. Current implementations explore state spaces, operators, Hamiltonian evolution, trajectory ensembles, constraint coupling, measurement, and scheduler-controlled collapse.
02 · Algorithmic trading
ApexQuantumICT separates causal market interpretation, temporal validity, information updates, portfolio consequences, risk admissibility, execution mechanics, and final authority into independent but coupled Hamiltonians.
Liquidity, displacement, structure, rebalancing and targets.
Sessions, cycles, kill zones, events and market clocks.
How new observations alter uncertainty and admissible states.
Exposure, sensitivity, stress PnL, correlation and convexity.
Loss limits, drawdown, sizing, concentration and liquidity risk.
Orders, costs, fills, reconciliation and rollback.
Policy, capability, evidence, refusal and final authorization.
No claim of guaranteed profitability, live-fund performance, broker integration, autonomous execution, or quantum advantage is made without project-specific public evidence.
03 · Featured systems
Every card exposes the problem, implementation, authority boundary, validation evidence, and current status.
04 · Engineering method
The same execution law maps across programming languages, finance, trading, governance, and agent systems.
Define valid system states before implementing transitions.
Make every state transformer typed, bounded, and observable.
Separate proposal capability from execution and collapse authority.
Treat logs, refusals, signatures, manifests, and test results as first-class outputs.
05 · Evidence model
The portfolio distinguishes implemented capability, validated behaviour, active research, private systems, and future milestones.
| Evidence class | Meaning | Portfolio treatment |
|---|---|---|
| Implemented | Code path exists in a named repository. | Describe exact capability and boundary. |
| Validated | Tests or reproducible operator prove behaviour. | Show dated count, command, or CI evidence. |
| Research | Formal or computational investigation remains active. | Separate standard mathematics from hypotheses. |
| Private | System exists but source or operations are restricted. | Publish architecture dossier, not secrets. |
| Planned | Roadmap item not yet implemented. | Never describe as current capability. |
06 · About
I am a systems architect and engineer based in Gaborone, Botswana. My work connects mathematical models, software architecture, governance, infrastructure, databases, interfaces, and operational proof into coherent systems.
I focus on what a system may do, who may authorize it, how it fails, how it reconciles ambiguity, and how another observer can verify the result.
07 · Connect
The contact surface intentionally avoids embedded third-party form secrets. Compose an enquiry, copy it, then continue through GitHub until a dedicated public email channel is configured.
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