• Developed secure, commercial grade code running on 1 Billion+ mobile devices worldwide

• Implemented Machine Learning model enhancing GNSS fix accuracy

• Spearheaded R&D for Kalman filter enhancement with sensor data

• Core developer of several patent-pending location technologies inventions

• Executed testing, debugging, and operation of C flight software on weather balloon experiment

• Administered routine updates through GitHub and analysis of GNSS data

• Successfully created novel weather observation technology that was both low cost and replicable on mass scale.

• Hosted workshops in Arduino & Python for over 50 students

• Spearheaded 60+ hours of training in control theory

• Mentored 50+ students to achieve a class average of (A-) with student recommendation rating of 80%