Ardika – AWS, Python, React

This project was an Indonesian SaaS platform for small businesses, offering an all-in-one solution with POS, inventory, finance, and CRM tools. It integrated with local marketplaces and payment systems to streamline operations across online and offline sales channels.

Ardika was responsible for the following:

• designed and architected the system from the ground up;
• developed both frontend and backend components;
• integrated third-party and external services;
• implemented the entire solution end-to-end;
• led and managed the development team throughout the project.

This customer was a restaurant and grocery ordering platform that provided a unified API, allowing businesses to place orders directly from major delivery services like UberEats and Grubhub. It streamlined food ordering by centralizing access to multiple vendors through a single integration.

Among others, Ardika managed the following:

• owned, maintained, and led one of the core products to place an order on any website;
• worked directly with the CEO and CTO;
• designed architecture for the backend using DDD;
• wrote unit, integration, and e2e tests;
• developed the system to place orders on any website;
• implemented system to avoid bot detection when placing the orders.

Turing.com was a talent recruitment platform that sourced, vetted, and matched software engineers with job opportunities from its global client base. Ardika was hired directly.

He worked in the emailing department and contributed in the following way:

• created a system to send/receive massive emails that's used by the whole company;
• implemented new features on this product;
• integrated with different email provider services like SendGrid, etc.;
• debugged and resolved issues within this product;
• worked both in backend and frontend;
• wrote unit, and integration tests.

This research project, conducted in collaboration with a university professor, involved developing a system to analyze human breath samples. Within this project, an AI model was created, capable of predicting COVID-19 infection based on breath content analysis. The system was deployed as a non-invasive screening tool in public spaces.

During his time on the project, Ardika's scope of responsibilities included the following:

• developed and architected the AI model;
• analyzed and generalized the raw data;
• developed in-house proprietary algorithm.