Production-grade enterprise AI platform
Designed microservices, Kubernetes deployment models, AI gateway architecture, self-hosted GPU inference, MCP service interfaces, LLM observability, evaluation pipelines, and policy-as-code controls.
Solutions Architect | Cloud, Gen AI, Application & Infrastructure
I help organizations modernize applications, build secure cloud and AI platforms, improve reliability, and turn high-stakes transformation programs into deployable architecture.
Experience spans consulting firms, global delivery teams, and client-facing architecture programs for financial services, healthcare, media, telecom, semiconductor, and AI platform organizations.
Practical architecture work across discovery, design, implementation, reliability, governance, and production operations.
Designed microservices, Kubernetes deployment models, AI gateway architecture, self-hosted GPU inference, MCP service interfaces, LLM observability, evaluation pipelines, and policy-as-code controls.
Led modernization planning and delivery for approximately 4,000 virtual machines and 70+ enterprise applications, including dependency mapping, sequencing, validation, cutover, and operational transition.
Built observability, self-healing automation, DR programs, chaos engineering practices, and incident response patterns that reduced MTTR by up to 60% and supported five-nines availability goals.
Established IaC frameworks, GitOps workflows, blue-green and canary deployments, policy gates, security scanning, compliance checks, and zero-downtime release practices.
Designed secure network connectivity, workload placement, Kubernetes platforms, storage and data services, high availability, capacity planning, cost optimization, and multi-cloud resilience.
Ran architecture workshops, discovery, design reviews, production readiness reviews, executive communication, incident command, vendor coordination, and cross-functional delivery.
Consulting Offer
I work best where business urgency, legacy complexity, cloud scale, AI adoption, security expectations, and reliability targets all meet at once.
Typical engagements: cloud migration strategy, AI platform design, Kubernetes platform reviews, SRE maturity, application modernization roadmaps, architecture governance, and transformation delivery leadership.
Map current-state architecture, dependencies, risks, operating model gaps, and modernization constraints.
Produce practical blueprints, service boundaries, platform patterns, landing zones, and migration plans.
Lead execution across engineering, infrastructure, security, product, operations, and executive stakeholders.
Hands-on architecture across cloud, infrastructure, AI workloads, delivery pipelines, observability, identity, security, and data platforms.
A progression from production infrastructure operations into enterprise architecture, platform engineering, SRE leadership, and AI platform design.
Kochi, India | Production-grade AI platform company
Client: COMCAST BUSINESS Location: Mount Laurel, NJ
Client: COMCAST BUSINESS Location: Mount Laurel, NJ
Client: COMCAST BUSINESS Location: Mount Laurel, NJ
Client: AstraZeneca Location: Macclesfield, UK
Client: Citibank Location: Chennai, India
Client: HITACHI Location: Bengaluru, India
Let’s Work Together
Bring me in for strategy, architecture reviews, modernization planning, AI platform design, reliability improvement, or hands-on leadership through complex engineering delivery.