Production Systems & AI Architecture

Enterprise deployment of generative AI agents in production environments routinely fails due to nondeterministic tool execution, runaway token budgets, and lack of auditable access layers on transactional databases. Unregulated autonomous loops introduce severe operational risks without strict runtime boundaries.

Implemented Model Context Protocol (MCP) servers exposing strictly typed, role-scoped tool interfaces backed by cryptographic audit logging on every tool invocation. Integrated an intelligent orchestration gateway with semantic prompt caching, token budgets, and automated circuit breakers to enforce deterministic execution within production parameters.

• Authored custom MCP servers with role-scoped tool interfaces preventing unauthorized database mutations.
• Engineered context-trimming algorithms that reduced token consumption by 42% in internal agent benchmarks.
• Implemented real-time policy guardrail evaluation executing in under 150ms per tool invocation.

Botanical and pharmaceutical extraction facilities face strict compliance where raw material expiration leakage and unverified batch routing halt production. Conventional ERP systems lack real-time FEFO enforcement and transactional scrap reconciliation across multi-stage work centers.

Architected a Go backend utilizing PostgreSQL ACID row-level locks to enforce rigid First-Expired, First-Out (FEFO) picking locks and barcode lot verification under 2.1 seconds. Deployed multi-level Bill of Materials (BOM) explosion and automated work-center routing to ensure end-to-end batch genealogy with zero expired material leakage.

• Architected and implemented the Go 1.22 microservice core and Next.js 15 frontend from scratch.
• Designed the autonomous agent integration layer using Model Context Protocol (MCP) for deterministic tool invocation against operational databases.
• Implemented token budget enforcement, Redis job queues, and automated SQLite WAL / PostgreSQL state persistence.

Multi-state commercial enterprises face recurring audit penalties and working capital erosion from manual tax reconciliation, incorrect HSN/SAC classifications, and high retail counter latency. Isolated ledger and POS databases prevent automated 3-way matching across purchase orders, gate passes, and vendor invoices.

Engineered a double-entry general ledger engine with automated intra-state (CGST/SGST) versus inter-state (IGST) split computation and real-time 3-way matching prior to ledger posting. Integrated an offline-first POS counter featuring native ESC/POS thermal printing protocols and split-tender payment settlement under 800ms.

• Implemented double-entry general ledger engine with atomic debit/credit constraints.
• Built real-time 3-way reconciliation pipeline matching purchase orders, gate inward notes, and vendor tax invoices.
• Integrated thermal receipt ESC/POS printing over local network sockets with sub-800ms checkout latency.