Tsheel/Nasq is a B2B SaaS platform designed for individual salon and spa owners to establish and manage their own branded online presence effortlessly. The platform offers customizable website templates, enabling business owners to personalize their sites by adjusting colors, adding logos, managing schedules, and listing services. Each salon/spa gets a dedicated website under the Nasq sub-domain.
The solution operates on a subscription-based model, granting business owners access to an intuitive booking management system, service customization options, and analytics insights. Customers can seamlessly search for services, book appointments, and manage their schedules through a user-friendly interface. The integration of HyperPay, Apple Pay, and Google Pay ensures secure and flexible payment processing.
By streamlining digital transformation for small and medium-sized beauty businesses, Tsheel/Nasq enhances operational efficiency, improves customer engagement, and drives revenue growth.

The primary objective of this project is to design and implement an event-driven backend system that automates the generation, validation, and delivery of healthcare-related EDI (Electronic Data Interchange) files, such as 834 (Eligibility and Enrollment), 837 (Claims), and 835 (Remittance Advice). These files are essential for secure, standardized, and compliant data exchange between healthcare providers, payers, and regulatory partners.

This system aims to:

• Ensure compliance with HIPAA and EDI X12 standards through rigorous validation (via Cotiviti).
• Enable seamless integration with external vendors like Avesis, Nations Benefits, and Reveleer through SFTP-based delivery mechanisms.
• Maintain operational transparency and traceability using real-time monitoring and logging via SigNoz.
• Support future scalability and workflow orchestration through modular design and integration with AWS services like SQS and Step Functions.

This project is a Web-based E-Prescribing & Document Processing Platform designed for healthcare providers and organizations to manage electronic prescriptions, sales orders, and documentation efficiently. The platform integrates with Brightree via API for seamless data synchronization, ensuring automated handling of product catalogs, patient records, and order tracking. A robust AI-powered document ingestion system processes medical faxes, extracts key details using OCR, and categorizes them for compliance checks. The system enhances efficiency through automated validation, real-time chat support, and AI-driven data extraction while ensuring secure handling of sensitive medical data.