About Mohan Ganesh

I am a Software Architect with over two decades of hands-on experience designing and delivering enterprise-scale systems across healthcare, insurance, and digital platforms. My work focuses on building secure, scalable, and production-ready solutions, with a strong emphasis on cloud architecture, identity, and AI-driven systems.

I specialize in modern application platforms on Google Cloud, where my expertise is backed by Professional Cloud Architect and Cloud Security Engineer certifications. I have designed and built AI agents using Google Gemini and Retrieval-Augmented Generation (RAG) to automate complex enterprise workflows, treating security, reliability, and observability as first-class concerns.

I believe in improving the platforms I use. As an active open-source contributor, I designed and implemented the Firestore Session Service for the Google Agent SDK, which was officially merged into the core project to address production-readiness gaps in stateful AI agents. In addition, I contribute to the Spring Boot framework, where I identified a critical scalability limitation in Tomcat’s default WebSocket configuration that can lead to CloseStatus[code=1009] errors in high-throughput, real-time applications such as audio and video streaming. I authored a detailed technical proposal Spring Boot Issue #47944, including a reproducible test suite, advocating for more granular WebSocket buffer configuration options. This work has been acknowledged by the Spring Boot Core Team and is currently under design consideration to improve production readiness for the broader Java developer community.

In my professional roles, I have led large-scale modernization initiatives, including redesigning member-facing conversational AI platforms in healthcare and leading cloud migrations that significantly reduced latency while improving deployment frequency through DevOps adoption.

Professional Focus

Software Architect focused on cloud-native platforms, identity and security engineering, and AI agent systems. Experienced in modernizing enterprise applications on Google Cloud, bridging technical architecture with business outcomes, and delivering production-grade AI systems with strong governance, observability, and operational resilience.

Open Source Software Contributions

Google Agent Development Kit (ADK) - Feature Implementation

• As an active contributor to the Google ecosystem, I designed and implemented the Firestore Session Service extension for the Google Agent SDK, which was officially merged into the core repository to enable stateful, enterprise-grade AI agents. ( documented in DeepWiki )
• This contribution provides developers with a robust and scalable solution to manage user conversation history, enabling the creation of stateful, enterprise-grade AI agents that can recall past interactions.

• Architectural Analysis: Identified a critical configuration bottleneck in Tomcat’s default WebSocket implementation within Spring Boot, which causes CloseStatus[code=1009] errors in high-throughput applications (e.g., real-time audio/video streaming).
• Technical Proposal: Authored a comprehensive technical proposal Issue #47944 including a reproduction suite to advocate for granular configuration properties for WebSocket buffer sizes.
• Community Impact: Recognized by the Spring Boot Core Team as a valuable framework enhancement; currently under design consideration to improve production-readiness for the global Java developer community.

System & Platform Experience

Professional Experience

Highmark Health | Pittsburgh, PA

Enterprise Architect | Nov 2023 – Present

• Zero Trust Authentication:Developed a proof of concept and led the enterprise adoption of a zero-trust, keyless authentication architecture using Google Workload Identity Federation and CyberArk, removing long-lived service account keys and materially reducing cloud credential security risk.
• Google Agent Development:Led the end-to-end delivery of Google Agent Development based solutions, progressing from proof of concept to production, enabling intelligent automation for Benefit Booklets and Prospect-to-Customer workflows, and accelerating customer engagement and information access.
• Call Center Modernization:Spearheaded the modernization of the enterprise call center platform, unifying customer data across systems and delivering a Customer Center of Fulfillment (CCoF)–aligned, 360-degree customer view through Google Cloud Platform integrations.
• AI-powered Developer Productivity:Evaluated and drove the adoption of AI-powered developer productivity tools, improving enterprise-wide software development efficiency and delivering a measurable 15–20% increase in developer productivity.
• Data Security:Designed and implemented data security frameworks for sensitive healthcare data, incorporating encryption, de-identification strategies, and fine-grained access control (FGAC) to meet regulatory, privacy, and enterprise security requirements.
• AI-driven Internal Platforms:Architected and deployed AI-driven internal platforms processing and machine learning to optimize workflows, reduce manual effort, and enable faster, data-backed decision-making across business teams.

CVS Health | Rhode Island, RI

Principal Engineer II/Director | Jan 2022 – Oct 2023

• Cloud Migration:Led cloud migration for CVS's Virtual Care and MinuteClinic digital platforms, reducing latency by 40% through multi-region active-active architecture.
• Content Management:Led the adoption of Contentful as a headless CMS to externalize and centrally manage content for the Angular application, replacing hardcoded content in the codebase. This improved content governance, enabled real-time updates, and streamlined content delivery across digital channels.
• DevOps:Introduced DevOps best practices, improving deployment frequency by 50% via blue/green deployment models and DORA metrics.
• API Resiliency:Architected API resiliency using Circuit Breaker patterns and federated Apollo GraphQL for scalable microservices.
• Mentorship:Mentored 15+ engineers on DevSecOps, SRE, and automation, aligning workflows for organizational KPIs.

Highmark Health | Pittsburgh, PA

Lead Architect | Oct 2012 – Dec 2021

• Modernized Member Portals:Modernized member portals using GCP (Cloud Run, App Engine, Firebase), enhancing user engagement by 25% via biometric authentication and CDN optimization.
• Client Portals:Redesigned IoT-enabled client portals, enabling decentralized communication for 1M+ users.
• Cloud Solution Validation:Collaborated with Google Engineering to validate cloud solutions, resulting in a 20% cost reduction for enterprise IT operations.
• Retail Platform Overhaul:Directed Highmark's Retail Platform overhaul, integrating CMS compliance and Medicare systems across 3 states.
• Modernized Portals: Modernized customer and member portals by integrating Adobe Experience Manager (AEM) to enable modular content management, improve personalization capabilities, and streamline cross-channel publishing—reducing content update cycles from weeks to hours.

Key Projects

• AI & Agent Developmnet Kit Production Running Staeful Agents & AI-powered RAG systems.
• Data De-identification De-identify and populate the production data to lower environments for continuous testing and quality releases.
• Elimination of Hardcoded application credentials Adoption of security product for application credentialing
• Elimination of Google Service Account Key File Uses of Workload Identity Federation to eliminate the use of service account key files for enterprise apps that runs outside of GCP.
• Member Portal Modernization Migrated monolithic systems to cloud-native architecture, microservices pattern reducing downtime by 30% and faster speed to market.
• Health Care Reform Compliance Engineered solutions for federal mandates, ensuring seamless integration with CMS systems for enrollments and eligibility checks.

Education & Certification

My Github Portfolio

You can explore my open-source projects, code samples, and contributions on my Github portfolio.
Visit: github.com/mohan-ganesh