Founder @Beejho | Senior Software Engineer
Currently building Beejho - an AI-powered restaurant management platform that helps restaurants optimize operations, increase revenue, and make data-driven decisions.
Beejho is revolutionizing how restaurants operate with:
- AI-Powered Insights: Leveraging AWS Bedrock for intelligent recommendations
- Smart Analytics: Real-time inventory tracking and demand forecasting
- Dual Recommendations: Personalized menu suggestions for customers + optimization insights for restaurants
- Semantic Search: Vector embeddings for natural language menu queries
- Competitive Analysis: Market intelligence and pricing optimization
Tech Stack: React • Node.js • Express • PostgreSQL • AWS Bedrock • Vector Embeddings
Early Iterations (Archived - refactoring for production):
- Beejho-Backend - Initial POC with Node.js/Express + AWS
- Beejho-UI - First iteration for online menu management
Currently rebuilding with enhanced architecture for full restaurant management platform based on pilot feedback and scalability requirements.
Founder at Beejho (Jan 2025 - Present)
- Architecting AI-powered restaurant management SaaS platform
- Built full-stack solution with React, Node.js, PostgreSQL, and AWS Bedrock
- Conducted 15+ restaurant owner interviews for market validation
Senior Software Engineer at Headout (Mar 2024 - Oct 2024)
- Scaled review collection system to 1.5M users with 11.4% increase in submissions
- Designed WhatsApp Business API integration achieving 7.3% collection rate increase
- Led full-stack project with Kotlin microservices, Redis caching, and Mixpanel analytics
Software Engineer at Cimpress (Dec 2023 - Mar 2025)
- Optimized PostgreSQL queries with 1.4x to 27x performance improvements
- Led UI component development epic for Order Management System
- Designed traceability system with DocumentDB for distributed systems
Software Developer at Piping Rock (Jan 2022 - Dec 2023)
- Built Warehouse Management System on AWS reducing operational costs by 33%
- Developed custom ORM and WebSocket microservices
- Improved application load times by 20% with database connection pooling
Languages:
Frontend:
Backend:
Databases:
AWS Services:
DevOps & Tools:
AI/ML & Architecture:
- Rebuilding Beejho's architecture for production scalability
- Implementing AI recommendation engine with AWS Bedrock
- Developing predictive analytics for inventory and demand forecasting
- Scaling from pilot restaurants to wider deployment