Portfolio

Led the development of enterprise-grade UI platform for National Grid UK, a Fortune 500 energy company serving 20 million customers.

Challenges

• ⚠️Complex regulatory and business requirements requiring careful translation to technical solutions
• ⚠️Weekly deployment cycles causing delayed feature releases and slow bug fixes
• ⚠️Inadequate test coverage leading to production defects
• ⚠️Manual deployment process prone to errors

Solutions

• ✅Built enterprise UI with Next.js (SSR) + React 18 + TypeScript with strict typings and reusable components
• ✅Designed AWS CI/CD pipelines (CodePipeline, CodeBuild, Lambda, S3, CloudFront) reducing deployment cycles from weekly to daily
• ✅Automated testing with Vitest & Playwright achieving 90%+ coverage
• ✅Implemented payload optimization and caching strategies improving API response times by 25%
• ✅Designed AI-assisted internal tooling using Python for automated data validation and log analysis

Business Impact

• 📈Reduced deployment cycles from weekly to daily (700% improvement)
• 📈Achieved 90%+ test coverage, reducing production defects
• 📈Improved API response times by 25%
• 📈Enhanced developer productivity through AI-assisted tooling

Designed and implemented an enterprise-grade AI assistant for Shell's fleet operations, leveraging LLMs and RAG pipelines to reduce support tickets by 20%.

Challenges

• ⚠️High volume of repetitive support tickets for fleet operations
• ⚠️Need for accurate, context-aware responses from internal Shell data
• ⚠️Integration with existing Azure cloud infrastructure
• ⚠️Ensuring data security and compliance

Solutions

• ✅Designed AI assistant using LLMs, RAG pipelines, vector databases (FAISS, Pinecone), Node.js microservices, and MongoDB
• ✅Fine-tuned GPT models on Shell's internal data for context-aware responses
• ✅Integrated with Azure services (App Services, CosmosDB, Redis Cache, Front Door CDN, Blob Storage, AKS)
• ✅Deployed real-time monitoring with Azure Monitor + Application Insights

Business Impact

• 📈Reduced support ticket volume by 20%
• 📈Achieved 25% lower latency
• 📈Reduced infrastructure costs by 15%
• 📈Reduced MTTR by 30% through proactive monitoring
• 📈Recognized by Shell leadership for pioneering AI-assisted operations

Led modernization of Shell's large-scale fleet management application serving thousands of global users with React 18 and modern architecture patterns.

Challenges

• ⚠️Legacy application architecture limiting scalability
• ⚠️Poor performance with slow load times
• ⚠️Monolithic frontend preventing independent deployments
• ⚠️Low test coverage causing production regressions

Solutions

• ✅Modernized with Redux Toolkit + RTK Query for efficient state/data management
• ✅Implemented code-splitting, memoization, and RTK Query caching
• ✅Enhanced API integration with .NET (C#) REST services with payload optimization
• ✅Built comprehensive test suites with Jest, Cypress, and Playwright (90%+ coverage)
• ✅Adopted Micro-Frontend architecture using Module Federation
• ✅Leveraged GitHub Copilot for AI-assisted development

Business Impact

• 📈Improved load times by 40%
• 📈Achieved 20% faster API responses
• 📈Reduced production regressions by 35% through 90%+ test coverage
• 📈Reduced operational costs by 15% through infrastructure optimization
• 📈Accelerated delivery by 15% with AI-assisted development

Founded and built PlanBPass, a full-stack AI-driven advisory platform delivering structured decision support across web, iOS, and Android.

Challenges

• ⚠️Building a complete product from zero to production
• ⚠️Designing reliable AI advisor system with context-aware responses
• ⚠️Ensuring feature parity across web and mobile platforms
• ⚠️Implementing secure backend with authentication and real-time capabilities

Solutions

• ✅Architected entire product stack: frontend, mobile apps, backend, AI workflows, and cloud infrastructure
• ✅Designed AI Advisor using LLM orchestration, prompt engineering, and RAG-based knowledge grounding
• ✅Built AI automation workflows using n8n for task orchestration and tool execution
• ✅Developed cross-platform mobile apps (iOS & Android) using React Native
• ✅Implemented secure backend with PostgreSQL (Supabase), auth, RLS, and real-time features
• ✅Delivered high-performance UI using React, Next.js, TypeScript, and Tailwind CSS
• ✅Containerized and deployed services using Docker with CI/CD pipelines

Business Impact

• 📈Successfully launched MVP across web and mobile platforms
• 📈Prepared iOS and Android applications for store deployment
• 📈Validated Phase-2 architecture through live demos
• 📈Actively engaging with early users, partners, and investors