Isabel Ramirez

Project: KBrain (AI-Driven Chat Solution)

• Developed and maintained React-based components, integrating machine learning APIs to enhance interactivity.

• Improved UI/UX for a seamless experience across admin panels and customer-facing pages.

• Optimized performance by reducing API calls and implementing lazy loading techniques.

• Utilized Git for version control and contributed to clear release notes and documentation.

• Built high-quality websites, blogs, and landing pages using Next.js, Tailwind, Vite.js, and React.

• Developed Robocon’s landing page to showcase a teenage robotics team representing Mexico internationally.

Project: Pidamos.de (Delivery App Similar to Uber Eats)

• Upgraded the front-end to modern standards, improving UI/UX and maintainability.

• Boosted PWA speed by optimizing API calls and reducing unnecessary data processing.

• Full-stack development, enhancing administrative and customer-facing features.

Project: ScrubMoney (Financial App for Doctors in the US)

• Developed a full-stack mobile and web application, integrating AWS DynamoDB.

• Designed mobile UI with Figma and implemented API connectivity.

• Built an admin panel for enhanced user management and reporting.

Project: TryNow (Try Now, Buy Later – Shopify App)

• Customized features for 40+ Shopify merchants to enhance TryNow functionality.

• Led A/B testing and Google Analytics optimization to improve user experience.

• Contributed to SDK and checkout updates, improving purchase flexibility.

Project: Pidamos.de

• Developed and programmed a maintenance page, covering both frontend and backend.

• Established a new path in both codes and facilitated communication using put and get commands, migrated tables from the api to the PWAs.

Project: Design and Construction of a Multi-Agent System.

• Design of the multi-agent system, industrial design (SolidWorks), electrical design (Multisim), algorithm design (Linux).

• Design of a business plan; statistics, gross and net expenses, components, etc.

• Build a safe and comfortable table for Don Leoncio.

• Control the integrated automation in the table through mechanical systems and programming in Python, using the Raspberry Pi.

• Design a control system (dispenser) for the medications to be used on the table.

• Design a monitoring system to keep accurate records of the medication consumption.

• Implement fuzzy logic in the system to have a better understanding of the interactions.