Welcome to my GitHub profile! I'm Krystian Ojeda Confeiteiro (Krys), an astrophysicist student and aspiring software engineer. I pride myself in practicality and efficient problem-solving and always seek continuous progress in my learning journey. I find great joy and satisfaction in maximizing opportunities, honing my skills, and embracing challenges. I have experience with multiple coding languages and enjoy creating effective solutions for various projects.

I am currently in the last year of my undergrad at Embry-Riddle Aeronautical University (Daytona Beach campus), currently working on research on the calculation of stellar ages using the rotation-age relationship, an astrophysical paradigm known as gyrochronology. I currently know Python, JavaScript, MATLAB, Java, HTML, and CSS, where I am most experienced in Python (2 years), JavaScript (1.5 years), and Java (4 months). After completing my undergrad, I will pursue an M.S. in Software Engineering and a Ph.D. in Computer Science focused on Space Sciences.

My long-term goal is to work on software specifically for any space science-related field. One of my short-term goals is to become an open-source contributor, something I have been building up since becoming a proficient coder. My only two open-source contributions thus far are a Public Flask App Template and pyprojectstools. Project repositories will be published upon their completion. See my Github profile or my LinkedIn to learn more!

During my academic journey, I have been actively involved in research in various fields. Listed below are a few examples of my research experience and projects:

• Working on Hall-effect thrusters using FEMM for MATLAB.
• Developing and implementing an artificial neural network (ANN) to automate the vetting of light curves in astronomy.
• Fixing, rewriting, and implementing a pipeline designed to process large files of data.
• Design, development, and maintenance of the official gyrochronology project website.
• Statistical and graphical analysis of extreme geomagnetic storm simulations from the SWMF simulation model as part of NASA's CCMC website.

One of my more significant contributions/projects has been automating the vetting process of light curves in astronomy using classification models. This work has significantly reduced the need for manual analysis and enabled more efficient processing of ground-observed data, providing valuable insights into the periodicity of stars.

Below are my personal projects along with recently published Python notes:

• pyprojecttools
• Flask Web Application GitHub Template
• So, You Want To Learn Python?

If you are interested in collaborating or learning more about my research, don't hesitate to contact me!