Software Developer in San Diego, CA, United States

This app uses both the Yelp and Google APIs to search for restaurants using a search term and the location. After the user submits the query, it shows the search term and location above the search results in the format “Showing near.”

For each of the top 15 search results returned from the APIs, the app displays the following information:
• The business name and address
• Yelp rating (up to five stars) and overall review
• Google rating (up to five stars) and total rating
• An image of the business from Yelp
• A photo of the company from Google
• The business website URL as a hyperlink

During vehicle production, Volkswagen Group brands must apply 25 different labels that contain country-specific safety, usability, and specification data—with over 2,000 variants. Any damaged, incorrect, or missing labels could pose regulatory issues. Furthermore, errors can occur during the inspection process, as employees are not always able to read the labels to confirm accuracy.

To automate this process, Volkswagen brand Porsche developed an intelligent Sign Inspection (iSI) solution on Amazon Web Services (AWS).

This solution is powered by the Digital Production Platform (DPP), a cloud-based industrial platform built by the Volkswagen Group and AWS to develop scalable use cases across the company and transform its manufacturing and logistics processes.

The DPP will also serve as the foundation for the Industrial Cloud—an open platform, community, and marketplace of digital solutions available to the automotive manufacturing industry.

I was actively involved in this AWS project, and the 2021 case study available at https://aws.amazon.com/solutions/case-studies/volkswagen-group-case-study/ inspired me to develop my own approach.

This proof of concept was for an eCommerce checkout, where the user can add multiple items to a checkout cart and add a discount that only works on specific "2 for 1" items.

I built the back end using GraphQL and hosted it on AWS.

A D3.js-based web application that facilitates options trading with cryptocurrency. I built it and utilized my expertise in React and TypeScript to develop a user-friendly interface that provided a seamless trading experience for cryptocurrency enthusiasts.

For the back end, I employed Rust and AWS to ensure a high-performance and scalable solution. With my in-depth understanding of back-end development, I designed an architecture that allowed the application to handle a high volume of traffic and ensure that all trades were executed with minimal latency.

As an excellent communicator and collaborator, I worked effectively with designers, product managers, and other engineers in a fast-paced environment, juggling multiple priorities to meet all project deadlines. As the project lead, I conducted code reviews and provided constructive feedback to the team members, ensuring the overall application quality was of the highest standard.