
Anirban Sarkar
From Building Software to Shaping AI-Enabled Engineering Systems
Building resilient, scalable and intelligent enterprise systems — connecting technology strategy with engineering execution across financial services, modernization, cloud platforms and AI-enabled engineering.
My Journey
From building software to shaping AI-enabled engineering systems
Over 22+ years, my journey has evolved from building enterprise applications and mission-critical financial systems to shaping solution and enterprise architecture, engineering platforms, and now AI-enabled engineering systems. Today, my focus is on applying AI and intelligent agents across the engineering lifecycle — not just coding, but architecture, modernization, development, testing, technical debt, operations and continuous improvement.
What I Work On
Eight connected dimensions of technology leadership
Architecture
Leadership, governance, principles, standards, reference architectures and decision frameworks.
Explore → 02Platform Engineering
Reusable capabilities, DevSecOps, Kubernetes, Infrastructure-as-Code and self-service engineering.
Explore → 03Financial Services
Mission-critical financial systems, trading workflows, SWIFT, settlement and regulated environments.
Explore → 04Modernization
Cloud, APIs, events, microservices, application transformation and technical-debt reduction.
Explore → 05Reliability
SRE, security, observability, resilience, NFRs and production readiness.
Explore → 06Global Leadership
Technology strategy, cross-functional teams, stakeholder alignment and transformation leadership.
Explore → 07Engineering Effectiveness
DORA, engineering maturity, quality, productivity, technical debt and measurable outcomes.
Explore → 08AI-enabled Engineering
Agentic SDLC, RAG, AI-assisted quality, engineering intelligence and productivity.
Explore →My Technology Journey
My Education
Foundations in engineering, computer science and artificial intelligence
Credentials & Continuous Learning
Current Focus
The convergence of Enterprise Architecture, Platform Engineering and AI — improving architecture decisions, delivery, technical-debt management, reliability and engineering productivity.