• Developed battery charging system software, in embedded C, for electric vehicle applications.• Designed and Implemented SAE J1939 communication protocol module for vehicle diagnostic data.• Designed and ran tests for various state machines for charging software utilizing Python.• Gained familiarity with DBC files by adding and altering various messages and signals.• Utilized FreeRTOS and gained experience with event queues.

• Designed board management controller (BMC) interface connector board using Allegro for schematic design and worked with vendors for PCB layout and PCA manufacturing. • Established communication links through Linux, such as UART and SSH, to update firmware, test board functionality, and debug performance issues of HPC servers and memory devices. • Designed, printed, and implemented PCIE board fastener utilizing Tinkercad. • Gained experience with various low and high-speed… Show more • Designed board management controller (BMC) interface connector board using Allegro for schematic design and worked with vendors for PCB layout and PCA manufacturing. • Established communication links through Linux, such as UART and SSH, to update firmware, test board functionality, and debug performance issues of HPC servers and memory devices. • Designed, printed, and implemented PCIE board fastener utilizing Tinkercad. • Gained experience with various low and high-speed signaling interfaces: SPI, I2C, UART, PCIe, SATA, SGMII. Show less

• Working under Dr. Bhavin R. Sheth, Electrical and Computer Engineering Department, University of Houston.• Utilize MATLAB to calculate feature values from image data with different noise levels and types.• Utilize Python to train multiple classifiers through 1000+ images using results from MATLAB.• Analyze feature correlations to reduce feature count and speed up classifier training and accuracy.• Identify most important features to gain insight on how humans determine the… Show more • Working under Dr. Bhavin R. Sheth, Electrical and Computer Engineering Department, University of Houston.• Utilize MATLAB to calculate feature values from image data with different noise levels and types.• Utilize Python to train multiple classifiers through 1000+ images using results from MATLAB.• Analyze feature correlations to reduce feature count and speed up classifier training and accuracy.• Identify most important features to gain insight on how humans determine the clarity of an image. Show less

• Managed an electronics lab aiding in circuit theory, circuit construction, and use of measurement equipment such as oscilloscopes, wave generators, and DMMs.• Graded 40+ lab reports weekly to help improve the technical writing and critical thinking of students.

• Interpreted students work to determine whether they had acquired an adequate understanding of presented material• Strengthened and solidified circuit analysis skills by understanding different methods used by students to solve problems

• Prepare lecture material that parallels the material the students learn during their designated University Physics II classes. • Lecture twice a week for 1.5 hours providing worksheets for each class period.

• Dedicate 3+ hours weekly to tutoring office hours located at the SEP facility.• Subjects Tutored: Circuit Analysis I & II, C Programming, Calculus I, II, & III, and, Physics I