Enterprise integration
API-first and event-driven architecture for CRM, procurement, contract lifecycle, collaboration, and data platforms.
Enterprise Integration · Cloud Systems · Distributed Platforms
Lead Software Engineer · Researcher · IEEE Senior Member
I build integration and cloud platforms that connect critical enterprise systems—reliable APIs, event-driven services, and distributed workflows designed for scale and day-to-day operations.
Over more than 15 years in enterprise software, I have worked across SaaS, marketing technology, energy, industrial software, retail, and banking, turning complex integration needs into maintainable systems.
Core expertise
I work where APIs, events, data, and distributed services meet. My focus is practical architecture: clear service boundaries, reliable execution, observability, and security across cloud and hybrid environments.
API-first and event-driven architecture for CRM, procurement, contract lifecycle, collaboration, and data platforms.
Multi-tenant SaaS, microservices, resilient messaging, workload orchestration, observability, and performance engineering.
Secure agent-to-service interaction, event correlation, AI-assisted operations, and governed enterprise automation.
Professional experience
Lead Software Engineer
Leading and contributing to integration and platform-modernization initiatives across eSignature and contract lifecycle management. The work connects Docusign capabilities with Salesforce, SAP Ariba, Microsoft SharePoint, and Outlook through API-driven and event-based workflows.
Senior Member of Technical Staff
Engineered high-volume data ingestion services for Salesforce Marketing Cloud across hybrid and multi-cloud environments, supporting API and file-based integrations from enterprise data sources.
Serverless workflows and geospatial systems · 2017–2018
AWS migration and industrial platform modernization · 2015–2017
Retail and banking marketing platforms · 2013–2015
Enterprise applications for manufacturing and energy · 2010–2013
Research
My research addresses practical problems in enterprise integration and cloud systems, including contract evolution, asynchronous coordination, multi-tenant scheduling, operational reliability, and secure service interaction.
Research profiles
Application-layer identity verification, service validation, and request-scoped authorization for secure agent-to-service exchanges.
An event-correlated architecture for durable context, resumable reasoning, SLA-aware recovery, and loosely coupled MCP agents across asynchronous enterprise workflows.
MCP-based incident correlation, adaptive anomaly detection, and capacity-aware alert routing designed around service-level impact.
Prompt-engineered language models, retrieval, and multi-agent analysis for root-cause diagnosis across distributed microservices.
Constraint-aware runtime coordination for policy-compliant, auditable multi-agent systems in enterprise environments.
A reliability taxonomy, control matrix, and SLI/SLO playbook for feature correctness, freshness, and availability.
Defense-in-depth patterns spanning network isolation, identity, data protection, monitoring, and recovery for cloud-native databases.
Contrastive self-supervised learning across source code, logs, and test results to identify previously unseen software defects.
Technical leadership & service
Recognition
Co-author of AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics.
View awardees →Speaking
Conference leadership
Judging
Mentorship
Community
Professional standing
Professional memberships reinforce a long-term commitment to engineering practice, research, standards, and service.
Technical writing
Connect
I welcome thoughtful conversations about enterprise integration, cloud platforms, distributed systems, and professional service.