A hands-on architect who helps systems and teams scale together.
I have 12+ years of experience designing enterprise applications, cloud-native platforms, distributed systems, and the engineering practices that keep them reliable.
My work spans technical strategy, platform architecture, mentoring, product delivery, and implementation across Java, TypeScript, Python, Node.js, React, and modern cloud infrastructure.
Architecture grounded in delivery reality
I stay close enough to implementation to make pragmatic decisions while creating the technical direction and conditions that let multiple teams succeed.
Connect architecture to business outcomes
I frame technical decisions around scalability, reliability, security, time to market, and the operating model needed to sustain the product.
Create standards that increase autonomy
I use reusable platforms, clear engineering practices, mentoring, and shared context to help teams make strong decisions without unnecessary coordination.
Turn strategy into working systems
I move comfortably between architecture, APIs, product flows, cloud infrastructure, CI/CD, and observability when delivery needs end-to-end ownership.
Making complex software easier to build, release, and evolve
At McKinsey, I provide technical leadership for enterprise platforms supporting Price & Promotion decisions in retail. The work brings together architecture, advanced analytics, product engineering, and cross-functional delivery.
At Oracle, I worked on a developer-centric Cloud Native Automation Platform that standardized deployment, application lifecycle management, and observability. Its self-service workflows reduced product deployment timelines from 5–6 weeks to under 24 hours.
At Aristocrat Gaming, I led the architecture and development of a reusable Game Development Kit, guided a core team of eight, and established standards used by more than 60 engineers. The platform reduced game creation time by 40%+ while delivery automation improved efficiency by 60%+.
My earlier full-stack career at Vratam gave me the practical foundation behind this work: shipping and modernizing real applications across service, web, desktop, integration, testing, and deployment layers.
I aim to leave behind more than a working product: clearer architecture, stronger engineers, and a delivery system that keeps improving.
That multiplier effect is the standard I use to evaluate principal-level impact.
Software engineering depth strengthened by applied AI
IIIT Delhi
Post Graduate Diploma in Artificial Intelligence, adding formal depth in machine learning, deep learning, research, and applied data work.
C-DAC ACTS Pune
Post Graduate Diploma in Advanced Computing, establishing a broad foundation in modern software development and systems engineering.
Awards across research and delivery
Includes IEEE Best Research Presentation, Best AI Capstone Project, Outstanding Final Year Project, and multiple Employee of the Month honors.