Hi, I'mHarsha VippalaBuilding scalable, cloud-native applications
I'm a software engineer focused on building reliable backend systems and cloud infrastructure. Currently at 7-Eleven, developing self-checkout applications and payment systems (because waiting in line for your Slurpee® is so 2020 🏃♂️).
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Based in Irving, TX, where I've spent the last 4 years building cloud-native applications (and yes, surviving the Texas summer heat 😅). My tech journey has involved lots of Node.js, TypeScript, NestJS, and AWS - focusing on microservices and distributed systems.
These days at 7-Eleven, I'm working on serverless microservices for our self-checkout system. My team handles transaction processing and payment integrations across stores, making sure customers can grab their snacks and go without a hitch.
When I'm not coding, I'm probably glued to F1 races (lights out and away we go!), getting competitive in FIFA, or catching live music shows. There's something special about experiencing your favorite artists perform live - it's my perfect way to reset after a week of debugging. 🎵
Pretty excited about all the wild developments happening in tech lately, especially in AI and machine learning. Always up for interesting conversations about new technologies or debating which programming language is actually the best (spoiler: it's always the one you don't know yet 😉).
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Food Delivery Platform
Engineered a scalable food delivery platform using Django and MySQL, featuring real-time order tracking, payment processing, and a comprehensive admin dashboard. Implemented a microservices architecture for order management, delivery routing, and restaurant integration, handling concurrent orders efficiently.
Car Rental Management System
Designed and implemented a comprehensive database system and web application for a car rental company using Django and MySQL. Built a scalable backend with role-based access control, customer management, and real-time inventory tracking. Implemented RESTful APIs for CRUD operations and business intelligence reporting.
Restaurant Booking AI Assistant
Developed an intelligent conversational AI system using DeepPavlov framework and TensorFlow. Implemented natural language understanding, dialogue state tracking, and contextual response generation. The system handles complex restaurant booking scenarios with high accuracy in understanding user preferences.