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Scalable Back-End Solutions for Enhanced Business Operations

overview

BUSINESS NEEDS

VALUE DELIVERED

OUTCOME SUMMARY

TECH STACK

HIGHLIGHTS

overview

Customer:

AGOT

Industry:

AI, Hospitality

country:

USA

duration:

Ongoing since May 2023

Experts from particles:

Senior Back-End Python Engineer

Agot deploys first-of-its-kind computer vision AI that transforms restaurant operations and empowers frontline food workers to provide an unparalleled customer experience. Using computer vision technology, Agot addresses key pain points for operators in restaurants including order accuracy, food waste, speed of service and more.

BUSINESS NEEDS

New Service Development: Design and implement scalable back-end services to enhance the platform's capabilities.

Maintenance & Upgrades: Ensure continuous maintenance and optimization of existing services and environments.

Architectural Design: Develop a comprehensive backend architecture, including database design and data-flow solutions.

VALUE DELIVERED

API Extension: Enhanced the existing API with refined business logic to boost functionality.

DBMS Session Management: Improved the management system for database sessions, enhancing security and stability.

SQL Query Optimization: Refined existing SQL queries, significantly improving data retrieval efficiency.

Asynchronous Task Handling: Implemented an asynchronous task distribution system to streamline backend operations.

Unit Testing: Integrated a unit testing system into development pipelines to ensure code reliability.

Role-Based Access Control: Added a configurable, role-based access system for enhanced platform security.

Real-Time Analytics Dashboard: Developed a dashboard providing near-real-time metrics for actionable insights.

outcome summary

This comprehensive backend upgrade resulted in a more robust, efficient, and scalable platform, directly contributing to improved operational performance and user satisfaction. The integration of modern technologies and best practices not only streamlined the backend processes but also positioned the client for future growth and adaptability in a dynamic business environment.

tech stack

PYTHON

fastAPI

Celery

MQTT

PostgreSQL

Google Cloud Platform (GCP)

Kubernetes

Highlights

USA
ARTIFICIAL INTELLIGENCE
HOSPITALITY
Python
Long-term
SQL
API
Platform
Kubernetes
BACK-END
Reviewer

Daniel Dreymann

Chief Product Officer & Head of Engineering

Agot

5

5.0

Our collaboration with Particles has provided us with access to a pool of exceptional back-end engineering talent, enhancing our ability to drive innovation in AI. The proficiency and dedication demonstrated have been integral to our progress and success

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