A software engineer motivated by collaboration and efficiency.
COVID-19 is a new, highly contagious disease that is spreading throughout the world at a fast rate. Many people who are classified as “at-risk” are not able to leave their homes safely to get essential items such as food and toilet paper. Shelter-in-place orders have also isolated many people from gatherings with family and friends.
BestNeighbor gives you the opportunity to help your own neighbors! As a neighbor, you can enter the items that you need into a wishlist. This wishlist can be viewed by volunteers in your area. As a volunteer, you can see your neighbors’ wishlists and decide how many people you would like to help at a time. Simply collect the wishlist items and contact each neighbor who you are helping to decide on your meeting checkpoint. At the checkpoint, you can drop off the items with your neighbor (just make sure to stay at least 6 feet away)! This ensures that elderly and at-risk populations are able to get what they need without risking their own safety by venturing too far from their homes. We hope this application will bring people closer together, and reignite a sense of compassion and humanity between members of a community.
Programming Languages: Python3, Javascript, HTML5 & CSS3
Frameworks & Libraries: Flask, Jinja2, jQuery, AJAX, Bootstrap
Database Tools: PostgreSQL, SQLAlchemy
Industry Tools:
Git, GitHub
Palette provides a space where visitors can be inspired by artworks and the colors used in those pieces. All the paintings and prints have been parsed using the Met Museum's API. Each artwork displays a specific color palette in which the visitor has access to and can implement in their own projects. Once visitors have been inspire by these various works of art, they can also upload their own photo. Then they will receive a personal palette based on their image. Other features include searching by tags (descriptions), artists, and artwork title.
Programming Languages: Python3, Javascript, HTML5 & CSS3
Frameworks & Libraries: Flask, Jinja2, jQuery, AJAX, Bootstrap
Database Tools: PostgreSQL, SQLAlchemy
Industry Tools:
Git, GitHub
I found a new passion for making everyone's lives more efficient. After working with a data scientist in my previous career, I was able to free up about 60-90 minutes a day for the technicians on my team. After seeing the change in productivity, I realized this is what I want to do for, well, everyone. This is where my journey to becoming a software engineer began.
At Hackbright Academy, a software engineering school for women, I went through a full-stack program learning Python as a backend and Javascript in the front. We collaborated with each other by practicing pair-programming and code reviews. I’ve learned a large amount of information and being able to put it in practice is exhilarating. Knowing that I can build an application and put it to use is a great freedom to have.
With this program, I got a taste of how companies may operate. I am open-minded, not afraid to ask questions, and love learning by collaboration.
Jessica believes that when you are able to teach someone a complex topic, you yourself will have a better understanding. Her time at the Tech Museum in San Jose demonstrated her ability to be receptive to her audience when educating them on complex topics . Her teaching skills went with her as an engineering process technician. She managed her team by setting milestones and improving the efficiency of data analysis. Jessica hopes in her next career she can give people back their time so they may spend it more efficiently. She looks forward to deconstructing ideas and rebuilding to improve the quality. Outside of software engineering she enjoys working on her embroidery art (check it out below!), traveling and visiting museums.