ARKLINTECH LAB
The future-facing engineering layer. We explore emerging protocols, autonomous agents, and hardware-accelerated edge inference with honest, clear state labels.
Self-Healing Financial Ledger Agent
Autonomous AI agent monitoring double-entry bookkeeping ledgers for automated anomaly mitigation.
Investigating autonomous background agents capable of auditing multi-gateway banking webhooks, identifying non-matching transaction traces, and drafting correction records for human review.
Can localized LLMs with constrained SQL toolchains reduce financial reconciliation audit time by 90% while maintaining 100% deterministic safety?
Zero-Cloud Offline State Mesh
Peer-to-peer CRDT state synchronization across local POS terminals without centralized LAN routers.
Prototyping Conflict-Free Replicated Data Types (CRDTs) over BLE and localized WebRTC mesh networks for zero-infrastructure restaurant and warehouse operations.
Evaluating merge latency and partition recovery when 10+ operational handhelds exchange state without internet or local WiFi router dependency.
Dynamic SOP Reasoning Engine
Translating natural language standard operating procedures into executable workflow state machines.
Conceptual architecture for taking company policy PDFs and automatically generating typed BPMN state machines with validation test suites.
Validating whether AST compilation techniques combined with LLM semantic parsers can eliminate manual workflow setup for complex operations.
Sub-10ms Edge Inference Appliance
Hardware micro-appliance running quantized vision and decision models at the operational edge.
Exploring low-power NPU hardware acceleration for real-time kitchen item inspection and physical inventory tracking without cloud streaming bandwidth.
Assessing inference yield and thermal stability of 3B parameter quantized models on localized edge appliances.