Description:
The Proxy Reseller System is a distributed platform designed to manage, resell, and monitor proxy services by integrating with multiple upstream proxy providers. The system allows end-users to purchase and manage proxy access while automatically sourcing, validating, and rotating proxies from various external APIs and suppliers.

Tech Stack:
Backend: Go (Golang)
Frontend: Next.js (React)
Database: PostgreSQL
Messaging / Streaming: Kafka
DevOps: Docker, Kubernetes, CI/CD (GitHub Actions), and cloud deployment (AWS/DigitalOcean)

Responsibilities & Contributions:
Designed and implemented the full system architecture, including microservices communication and data flow.
Developed the backend services in Go, handling authentication, proxy allocation, usage tracking, and billing logic.
Built the Next.js frontend dashboard for customers and admins to manage proxy plans, usage stats, and provider performance.
Integrated with multiple third-party proxy provider APIs to dynamically resell and manage proxy pools.
Implemented asynchronous processing and message queuing with Kafka for scalable proxy validation and rotation.
Deployed and maintained the entire system using Docker, Kubernetes, and automated pipelines.
Managed PostgreSQL schema design, migrations, and performance tuning.
Ensured observability with logging, metrics, and alerts for system health and uptime.

Outcome:
Successfully launched a scalable, high-performance proxy reseller platform capable of handling thousands of concurrent requests.
Reduced infrastructure costs through optimized resource management and dynamic load balancing.
Delivered a full-stack production-grade system with end-to-end automation and monitoring.

-Overview
This project aims to fully automate the operational processes of hospitals, encompassing patient registration, examinations, appointment scheduling, communication between healthcare providers and patients, as well as payment and invoicing systems. The solution is comprised of four components: a desktop application for physicians to manage their operations and integrate with medical devices; a mobile application for patients to register and complete questionnaires; a web application for patients and employers to access their data and schedule appointments; and a well-being portal.

-Key Solutions
o I EHR Integration
Developed secure integrations with the healthcare provider’s Electronic Health Record (EHR) system to facilitate real-time access to patient information.
oIntegration with Examination Devices
Implemented seamless integration with examination machines, enabling the transmission of input data to these devices and direct retrieval of output data.
oAutomated Document Generation
Established automated processes for generating certificates and documents containing patient information and examination results.
oPayment Gateway and Invoicing Integration
Integrated with various payment gateways and invoicing providers to streamline the generation of invoices and facilitate automated payment processing.
oWell-Being Reminders (Email & SMS Integration)
Developed a well-being application equipped with reminder functionalities to enhance operational efficiency, ensuring that schedules and task lists are adhered to in alignment with appointment scheduling.

This comprehensive system not only improves the efficiency of healthcare operations but also enhances the overall experience for both patients and providers.

Tech Stacks: Python/PyQT, React.js, Node.js, Flutter, Twillio

Fleet Managemet System based on location data.
Developed with Java, Flutter, React.js, PostgreSQL.
I worked as a Full Stack developer for this project and I handled all parts of this project.
I build this project from scratch.