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Professional Summary

Principal Software Architect and engineering leader with 16+ years of project experience across five companies and cross-functional teams spanning engineering, product, QA, and compliance. Track record spans enterprise Java services, e-commerce and freight-management platforms, and cloud-native, event-driven microservice systems — including authentication, authorization, and SSO for modern microservice applications — combining hands-on delivery (coding, regression, production support) with architecture strategy, legacy modernization, and platform design. Builds on this foundation with a growing portfolio of independent AI-native and simulation projects.

Core Competencies

• Distributed Systems & Cloud-Native Architecture
• Microservices Authentication & Authorization: API Gateway, BFF, Service-Mesh (mTLS), Token Introspection, RBAC/ABAC
• Legacy Modernization, System Decomposition & Migration Strategy
• Event-Driven Platforms using Kafka, Redis, Kubernetes, Docker
• Service-Oriented Architecture: SOAP/Axis2 Web Services, Java, Enterprise Integrations
• Search & Ranking Systems, Rate Management and Auditing Pipelines
• Simulation & Operations Research: Discrete-Event Modeling, Queueing, Assignment Heuristics
• AI-Native Pipelines: Multi-Agent Orchestration, LLM-based Extraction, Cost-Aware Inference
• CI/CD Automation, DevSecOps, Reliability Engineering & Compliance
• Architecture Governance, Technical Roadmaps & Engineering Leadership

Project Portfolio by Competency

• High-Volume Event Processing Pipeline — designed a Kafka, Redis, and Kubernetes-based pipeline for global logistics communications, improving peak-window throughput 30–50%.
• Legacy-to-Microservices Migration — reverse-engineered monolithic systems into services following microservices design patterns, with migration playbooks (data mapping, testing, deployment, BAU handover) executed with engineering and QA teams.
• SSO & Identity Platform Work — built and maintained various SSO applications; led authentication and authorization for users across microservice applications using the API Gateway pattern for centralized token validation, a Backend-for-Frontend (BFF) layer for login/session handling and token issuance, and a sidecar/service-mesh model (mTLS) for service-to-service auth. Enforced access with a shared token-introspection/validation service and RBAC/ABAC claims-based authorization at each service.

• Ocean Cargo Search Engine — designed and built the core search engine for a freight-forwarder rate platform: indexing, query relevance, and result ranking across large rate datasets.
• Rate Ledgering POC — built a proof-of-concept for ledgering rate management actions, creating a traceable, append-only record of rate changes for audit use cases.
• Rate Auditing, Phase 1 — delivered a rate-auditing capability with a feedback loop, routing detected discrepancies back into the correction workflow.
• Event-Driven Features — shipped autocomplete driven by most-searched-term suggestions and automated report generation triggered by rate or contract events.

• Equifax Voice Recorder Unit — built using Axis2 web services; owned coding, regression testing, and load testing of the application.
• Equifax Credit Rating Enhancements — delivered payment-provider integrations and business logic for identity-theft detection features.
• Equifax Mobile Backend — developed backend logic powering core functionality of Equifax's mobile application.
• GE Electricals Hybris E-Commerce — built and enhanced product-catalog and storefront features on the Hybris platform.
• Equifax B2C Production Support — owned incident triage, bug fixes, and hotfixes across B2C applications to maintain uptime and SLA compliance.

• FlightIQ — AI-powered flight congestion intelligence dashboard using NetworkX graph optimization across cost, time, and congestion strategies, with graceful fallback to BTS statistical models.
• Rate Ingestion — 8-agent AI-native pipeline extracting structured rate data from PDFs, scans, Excel, and HTML tables, with full auditability and cost-aware LLM routing.
• Truck & Dock Optimization — discrete-event simulation modeling truck arrivals, queueing, and dock assignment under equipment, capability, and priority-load constraints; evolving into a real-time dock-assignment and bottleneck-detection tool.

Professional Experience

Technology Expertise

Education