Graduate Student, Engineer, & Teacher
M.S. Engineering Technology · Texas A&M University
I am pursuing a Masters of Science in Engineering Technology at Texas A&M University. My passions are in creating innovative solutions that blend software and hardware to transform education.
August 2024 – May 2025
Lead software developer for a senior-year capstone project on non-invasive
blood glucose monitoring using millimeter-wave sensing.
Designed an Android app with Bluetooth Low Energy, wrote ESP32 firmware to
interface with a NANO VNA, and built an XGBoost model to estimate glucose
levels from RF signal data.
February 2025
A web app that teaches sign language in real time using computer vision,
built with a team of four during TAMUhack 2025, a 24-hour hackathon.
Responsible for the full ML pipeline: collecting and labeling a custom
dataset with MediaPipe hand landmarks, then training a TensorFlow
classifier that recognizes ASL gestures live via webcam.
March 2024 – April 2024
An autonomous target-seeking
SCUTTLE
robot built by a team of four for MXET 300 (Mechatronics I).
Designed and implemented the dynamic obstacle avoidance algorithm, the
autonomous navigation logic, and real-time target detection using HSV
color filtering in OpenCV.
February 2023 – April 2023
Lead developer for my group in AI4ALL Apply AI's Spring 2023 cohort,
building recurrent neural networks to recognize five American Sign
Language words from video sequences.
Iterated on six LSTM variants with different hyperparameters, trained on the
Kaggle ASL Signs Challenge
dataset.
Texas A&M University
MiWiRa Lab
January 2024 - Present
I currently am working on my Master's thesis, which is an exploration of using deep learning models to analyze mmWave radar data to detect pests in cattle. I am also working in the fine-tuning of an XGBoost model to compare against the deep learning models.
As an undergraduate researcher, I assisted in researching alternative ways of analyzing millimeter wave radar data, particularly the back-projection algorithm (BPA) and the Range Migration Algorithm (RMA).
Texas A&M University
ENQUIRE Lab
August 2024 - Present
I develop tools and pipelines that utilize generative AI to analyze engineering curricula data to better understand the decision processes behind curricula development and their motivations.
Texas A&M University
January 2022 - February 2023
I was tasked with collecting data from children through surveys and interviews for future analysis in this study. I also did literature review and analysis to learn more about related topics.
Masters of Industrial Distribution @ Texas A&M
January 2026 - Present
Assistant in creating course frameworks and updating course materials on Canvas for the Masters of Industrial Distribution program. Also, I ensured that all course materials were fully compliant with accessibility standards.
Texas A&M First Year Engineering
August 2022 - May 2025
Peer teacher for four different courses (ENGR 102, PHYS 216, CLEN 261, CLEN 181). I helped students with their coursework and prepared them for their futures as engineers and as students. I provided office hours, created supplemental learning materials, and managed a Discord server for the courses.
Student Excellence and Academic Success @ Texas A&M
August 2024 - May 2025
Peer mentor for current first-year, first-generation engineering students. I provided guidance and support to help them succeed in their first year at Texas A&M academically, socially, and emotionally.
Engineering Summer Bridge Program @ Texas A&M
Summer 2023, Summer 2024
Peer mentor for incoming engineering students through the Engineering Summer Bridge Program. I assisted them with preparation for their Math Placement Exam and for their first year at Texas A&M with a focus on academic success and work-life balance.
Virtual Introduction to Python @ Texas A&M
Summer 2023, Summer 2024
Peer mentor for incoming engineering students. I assisted them with getting a solid foundation in Python in preparation for one of their core first-year courses, ENGR 102.
Comprehensive exam reviews for ENGR 102. Consists mostly of solving problem sets provided by the professors.
Mini lecture series for key pre-calculus concepts, tailored for ESBP students.