Projects
A collection of enterprise-scale software engineering projects showcasing full-stack development, cloud architecture, and AI/ML expertise.
Architected and implemented a comprehensive pricing and menu management platform that revolutionized Taco Bell's restaurant operations. The system handles real-time pricing updates, menu configurations, and promotional campaigns across all locations with enterprise-grade reliability and performance.
Key Achievements
- •Single-digit millisecond latency
- •Millions of daily transactions
- •40% reduction in pricing errors
- •$6B in digital sales (2024)
Technologies
Impact
Transformed Taco Bell's restaurant architecture and significantly enhanced digital order processing capabilities, directly contributing to record-breaking digital sales.
Developed a comprehensive manufacturing execution system (MES) that provides real-time visibility into factory operations. The platform includes advanced planning modules, scheduling algorithms, and interactive dashboards for production managers.
Key Achievements
- •30% improvement in on-time fulfillment
- •Enhanced scheduling reliability
- •Increased workflow visibility
- •50% reduction in manual planning time
Technologies
Impact
Improved aerospace manufacturing operations through advanced planning and scheduling modules, enabling more efficient production workflows.
Created an intelligent customer support automation platform that leverages machine learning to handle common customer inquiries. The system uses natural language processing to understand customer intent and provides automated responses while escalating complex issues to human agents.
Key Achievements
- •10,000+ monthly support calls automated
- •60% improvement in resolution time
- •25% increase in customer engagement
- •85% accuracy in intent recognition
Technologies
Impact
Revolutionized customer support operations through intelligent automation and machine learning, significantly improving customer satisfaction while reducing operational costs.
Designed and implemented a comprehensive microservices platform that enables rapid development and deployment of new features. The platform uses event-driven architecture with CQRS patterns to ensure scalability and maintainability across multiple teams.
Key Achievements
- •50% faster feature delivery
- •Improved system scalability
- •Enhanced team autonomy
- •Reduced deployment complexity
Technologies
Impact
Enabled faster feature development and improved system reliability through modern architectural patterns and containerization.
Developed a sophisticated RAG system that indexes resume content and blog posts into searchable document chunks. The system includes real-time indexing, semantic search capabilities, and an interactive dashboard for exploring the AI's knowledge base. Features include document chunking, metadata extraction, and a modal-based interface for technical transparency.
Key Achievements
- •34,000+ words indexed across 50+ documents
- •Real-time document chunking and indexing
- •Interactive knowledge base visualization
- •Semantic search with metadata filtering
Technologies
Impact
Demonstrates advanced AI/ML system architecture and provides complete transparency into the AI assistant's knowledge base, showcasing technical expertise in RAG implementation.
Developed a reusable component library that standardizes UI development across multiple teams. The library includes comprehensive documentation, automated testing, and design system integration.
Key Achievements
- •80% reduction in UI development time
- •Consistent design system
- •Improved accessibility compliance
- •50+ reusable components
Technologies
Impact
Standardized UI development across teams and significantly improved development velocity while maintaining design consistency.