Systems Engineer
GE Aviation Systems
Total years of experience :1 years, 1 Months
- Hardware/software integration testing of an Industrial Remote Interface Unit (IRIU).
- Ensuring test results adhere to customer requirements.
- Ensured all activities complied with aviation and company standards.
- Exposure to industrial communication protocols (Profinet, EGD, CANopen).
- Introduction to DOORS and Serena Dimensions for Requirements capture and documentation handling.
- Incorporated machine learning algorithms in Python to model and predict drift trend in gyroscope sensors over time and present findings to Customer in a simple, concise fashion.
- Developing innovative solutions with regard to change control management, generating ideas from existing or unrelated industries, and presenting potential business cases to Engineering Project Managers.
- Wrote software for automated testing and commissioning of Remote Interface Units (RIU), reducing activity period from 6 weeks to 1 week.
- Managed the entire testing procedure of an RIU and delivered to the customer 2 weeks ahead of schedule, ready for trial engine testing.
- Developed a machine learning program in Python that uses existing data to model and predict how sensors behave and at which point in time they drift beyond customer required specifications.
- Ability to work on own initiative as well as part of a team.
This thesis focused on giving engineers the ability to change digital filter specifications on the fly, without depending on expensive software and hardware; or complex mathematical calculations and derivations. Digital Signal Processing (DSP) was performed by the ARM Cortex M-3 Micro controller and incorporated FIR and IIR filters. FIR Filters: - Blackman - Hanning - Hamming - Rectangular IIR Filters: - Butterworth - Chebyshev Type 1 An application written in C#.NET was used to send filter requirements in real-time to the Cortex M3