Work
I build deterministic AI systems and cryptographic proof artifacts for regulated deployment.
Deterministic Inference Runtimes
What it is
A runtime architecture where identical inputs produce bit-perfect output parity across any hardware within defined constraints. It replaces the probabilistic nature of standard inference with strict system guarantees.
Why it matters
Regulated systems require reproducible evidence. Determinism enables replayable debugging, exact audit trails, and the removal of variance in safety-critical deployments.
What I do
I design the runtime mechanisms that enforce stability, including canonical serialization and fixed-point constraints to reduce numeric drift.
Cryptographic Execution Receipts
What it is
A structured, verifiable proof artifact that cryptographically binds model inputs, internal routing decisions, and output completions into a single, signed evidentiary block.
Why it matters
Verification shifts the burden of proof from "trusting the provider" to "auditing the receipt." This is essential for compliance in government and enterprise procurement.
What I do
I build receipt schemas using BLAKE3 hashing and HKDF-SHA256 derivation to ensure that every inference event leaves a tamper-evident trail.
Regulated and Offline Deployment
What it is
The engineering of AI systems for high-security environments, favoring edge compute, air-gapped stability, and local provenance over cloud-dependent API calls.
Why it matters
Strategic autonomy requires models that function without external connectivity. Reliability in these environments is the primary hurdle for government-facing AI integration.
What I do
I implement localized runtimes and deployment narratives that satisfy strict audit requirements and security-cleared operational constraints.
Mixture-of-Experts and Adapter Accountability
What it is
The management of dynamic model architectures, specifically Mixture-of-Experts (MoE) routing and LoRA hot-swapping, within a unified, verifiable framework.
Why it matters
Flexible architectures often obscure decision-making. Accountability requires that every routing choice be recorded and replayable within a deterministic runtime.
What I do
I define the logging and verification standards for MoE gating to ensure that dynamic flexibility is balanced with absolute traceability.
Audit Trail: Every gating decision is logged with deterministic scores, enabling full replay from the execution receipt.
Selected Projects
JKCA (Legacy)
archivedPrevious iteration of this personal site. Next.js with PostgreSQL backend and auth system.
MLNavigator
stableApplied research and regulated deployments for deterministic AI systems.
AdapterOS
wipDeterministic inference runtime + verifiable execution receipts for regulated AI deployments.
AuchShop
pausedE-commerce platform with Shopify and Amazon integrations. Multi-channel inventory sync.
Scopic Surgical
stableSystems and commerce engineering for medical supply chains.
AuraSafe
stableHarm-reduction and privacy-first tracking for sensitive environments.