A selection of projects spanning AI systems, cloud architecture, and enterprise platforms. Each represents a distinct challenge solved through thoughtful engineering.
Technical Lead
Media managers needed better tools to optimize Return on Ad Spend (ROAS) across campaigns, but existing solutions required significant manual analysis and lacked intelligent insights.
Built multiple Gen AI agents that analyze campaign performance data in real-time, providing optimization recommendations and helping media managers make data-driven decisions.
Technical Lead
In-store sales associates struggled to match customer needs with available inventory, leading to missed sales opportunities and reduced customer satisfaction.
Developed an AI-powered retail assistant copilot that enables associates to quickly find products matching customer requirements through natural language queries.
Architect
Development teams spent significant time on boilerplate code and lacked standardized patterns for building microservices, leading to inconsistent implementations and slow delivery.
Created a comprehensive microservices framework with built-in observability, service discovery, and common patterns that teams could adopt immediately.
Architect
A nationwide application tracking footfall metrics was architected for domestic scale only and could not expand to international markets due to infrastructure limitations.
Redesigned the application architecture using Azure Cloud technologies to enable horizontal scaling, multi-region deployment, and improved observability.
Senior Architect
Technology audits and engineering best practices were tracked manually across the organization, leading to inefficiency and lack of transparency.
Designed and implemented a Power Platform solution (Power Apps, Power Automate, Power BI) to streamline organization-wide audits and track engineering standards adoption.
AI Solutions Architect
Manual processing of thousands of invoices and contracts was causing delays and errors in accounts payable.
Developed AI-powered document extraction pipeline using Azure Document Intelligence and custom NLP models for entity recognition.
Lead Architect
Business needed real-time visibility into sales performance across 500+ retail locations with sub-second latency requirements.
Built streaming analytics platform using Apache Kafka, Azure Stream Analytics, and custom OLAP cube design for instant aggregations.
Cloud Architect
Legacy on-premise systems were causing scalability issues and high operational costs for a large retail client.
Led migration of 50+ services to Azure, implementing containerization with AKS, managed databases, and infrastructure as code with Terraform.
Backend Architect
Mobile apps were struggling with slow load times due to over-fetching from generic APIs designed for web clients.
Designed and implemented BFF layer with GraphQL, optimizing data aggregation and introducing efficient caching strategies.
Technical Lead
The in-house ERP tool had inefficient timesheet management and performance issues affecting user experience and adoption across the organization.
Led development of a new timesheet module with improved UX and optimized application performance through architectural improvements and Java backend refactoring.
Security Architect
Enterprise client needed to achieve SOC 2 compliance but lacked security infrastructure and processes.
Implemented comprehensive security roadmap including identity management, encryption at rest/transit, audit logging, and vulnerability scanning.
Architect
Legacy REST APIs had accumulated significant technical debt, making them difficult to maintain, test, and extend with new features.
Redesigned and deployed the mainline product's REST APIs based on Clean Architecture principles, with proper separation of concerns and comprehensive test coverage.
Architect
Code quality was inconsistent across 300+ developers, with security vulnerabilities and code smells going undetected until production.
Implemented company-wide code quality gates by integrating SonarQube into CI/CD pipelines, with automated quality reports and enforcement policies.
Architect
Healthcare providers needed real-time data synchronization with Smile CDR (FHIR-based Health IT provider), but existing batch processes caused data lag and compliance issues.
Developed a .NET Core Windows Service that orchestrates real-time bidirectional data synchronization using FHIR standards, with robust error handling and retry mechanisms.
Lead Engineer
Teams spent 100+ hours monthly on manual report generation, backlog maintenance, and work assignment tasks that could be automated.
Built an on-premises Bot Framework that replicates Microsoft Power Automate capabilities, enabling workflow automation across Azure DevOps with custom extensions.
Developer
Marketing and Sales teams used separate CRM systems (Microsoft Dynamics and HubSpot), making it difficult to track leads and coordinate sales activities.
Developed a bidirectional integration between Microsoft Dynamics CRM and HubSpot CRM to synchronize lead data and enable coordinated marketing and sales workflows.
Developer
Communication between engineering, support, and product teams was fragmented, making it difficult to track issues and maintain SLAs for client-reported problems.
Created a company-wide ticketing system to streamline inter-team communication and provide visibility into issue resolution workflows with SLA tracking.