Research Interests

Large Language Model (LLM) Systems

Generative AI & Agentic Workflows

Embedded Software Design

Efficient AI Inference & Optimization

Selected Publications

Adaptive Production Forecasting Using a Long Short-Term Memory Network

Journal of Petroleum TechnologyPublication

Research on applying LSTM networks to adaptive production forecasting, covering modeling approach, evaluation, and implications for field planning.

Education

Clemson University

2026 - Present

Ph.D. Computer Science

    Texas A&M University

    Aug 2019 - May 2023

    B.S. Computer Science, Minor in Statistics, Certificate in Data Analysis for the Petro Industry

    • GPA: 3.956 / 4.0

    Professional Experience

    Tektronix Inc.

    Jul 2023 - Present

    Software Design Engineer

    • Built a state machine workflow to automate coordinated triggering across power supply and source measurement units.

    Tektronix Inc.

    Jun 2020 - Aug 2022

    Engineering Intern

    • Built a Python library to convert analog waveform files into class objects for extraction, calculation, and waveform modification.

    Texas A&M Civil Engineering Department

    May 2021 - Dec 2021

    Software Developer

    • Built pavement testing laboratory software to a Model-View-Controller architecture using Qt.

    Honors & Awards

    Best Hardware Hack

    Digi-Key Hackathon

    Winner (First Prize)

    TE&NE Data Science Drilling Challenge by SPE

    Runner-up (Second Prize)

    eSMART Robotic Competition at Texas A&M

    Dean's Honor Award

    Texas A&M University