I lead engineering teams in designing and implementing enterprise-scale AI ecosystems across Azure and AWS, building secure, governance-led multi-cloud architectures that enable organizations to scale Generative AI responsibly. My work bridges AI agent design, model integration, and enterprise governance, transforming traditional systems into AI-native, compliant, and production-ready platforms.

Key Achievements

Architected enterprise AI platforms using Microsoft Copilot Studio, Azure AI Foundry, and MCP (Model Context Protocol)—embedding governance, observability, and access controls into every layer of the architecture.

Developed and deployed AI agents powered by RAG pipelines, vector databases, LangChain, and Python, enabling contextual intelligence and secure enterprise search.

Engineered Fabric-based data agents and A2A integrations within Microsoft’s Copilot infrastructure to unify data flows and enhance interoperability.

Automated CI/CD pipelines for AI agents, integrating policy validation, risk scanning, and performance telemetry for stable and compliant rollouts.

Migrated complex legacy applications into AI-enabled microservices, optimizing for scalability, cost efficiency, and model-driven automation.

Led enterprise adoption and lifecycle governance of Copilot agents, ensuring model compliance, security posture, and controlled reusability across business units.

• Architected Container-based solution for Drupal & WordPress applications in AWS with serverless architecture. ECS with CI/CD pipeline using Code build and Pipeline with code security with

Microsoft Team notification

• Integrated End-to-End TLS implementation for highly secured container-based application with

proper governance of data and security

• Migrated complex and multi-tier applications to AWS Cloud Platforms with Headless & Microservices

architecture

• Implemented cost-control & Data security strategies for the cloud services usage

• Improved DevOps process by using the AWS services such as Code Build, Pipeline, Lambda

Function, Synthetic Canary services, CFT templates

• Followed cyber security standards such as Prisma Scan, Veracode & SonarQube scan for the code

review and gated approval process within the code pipeline

• Designed and developed a complex internal portal in Drupal CMS which accommodates 5k

concurrent users hosted in the OnPrem

• Designed highly cacheable & scalable OnPrem infrastructure with proper DR for the failovers which

can serve 500k hits on daily basis

• Decreased page turn-around time, achieved by an effective usage of the Akamai caching of the

static, user independent data provided through the web services, thereby significantly reducing the

queries triggered to the database as well as the data transfer between server and browser

• Analyzed financial reporting systems and project schedules to proactively address potential technical

problems

• Technology used - LAMP, Drupal, WordPress, HTML, CSS & jQuery

• Designed and developed a complex internal portal in Drupal CMS which accommodates 5k

concurrent users hosted in the OnPrem

• Designed highly cacheable & scalable OnPrem infrastructure with proper DR for the failovers which

can serve 500k hits on daily basis

• Decreased page turn-around time, achieved by an effective usage of the Akamai caching of the

static, user independent data provided through the web services, thereby significantly reducing the

queries triggered to the database as well as the data transfer between server and browser

• Analyzed financial reporting systems and project schedules to proactively address potential technical

problems

• Technology used - LAMP, Drupal, WordPress, HTML, CSS & jQuery

• Improved application performance by judicious usage of AJAX calls to reload only required sections

of the page as well as to ensure smoother data loading and refresh. Hence only the data is being

refreshed from server and the skeleton being cached in the Client

• Implemented of JS framework / library (jQuery) for better DOM processing, handling AJAX (in cross

browser) and to simplify client-side scripting

• The web service data format is JSON for its lightweight relative to XML for complex responses

• Technology used - LAMP, Drupal, HTML, CSS & jQuery