Education

Santa Clara University

2026 – 2027

M.S. in Artificial Intelligence · GPA 3.93

University of California, Davis

2021 – 2025

B.A. in Economics

Experience

Research Assistant

  • Researching deep reinforcement learning agents to solve quadrilemma optimization problems for 6G cellular technologies, including Fluid Antenna, Pinching Antenna, RSMA, and NOMA.
  • Developed a comprehensive ns-3 simulation environment to design, train, and evaluate RL agents for intelligent Wi-Fi 7 network optimization, enabling reproducible experimentation and performance analysis.
  • Mentored and instructed lab members on designing, implementing, and executing ns-3 simulations, improving team productivity and ensuring correct, efficient use of the framework.

Sacramento Municipal Utility District (SMUD)

Aug 2024 – September 2025

Data Science Intern

  • Developed and fine-tuned a demographic cohort-classifying ML model with 84% precision using Gradient Boosting (XGBoost), K-means clustering, and Bidirectional LSTMs in Python (TensorFlow, scikit-learn) and R.
  • Deployed AI/ML models to production with Docker, Airflow, and GitLab, automatically handling 600,000 predictions daily and increasing research and survey-sampling efficiency by 30%.
  • Enhanced market-research efficiency by 50% by analyzing and validating 6,000 vendor-supplied data points with Pandas, NumPy, and Excel.
  • Researched and advised on predictive models forecasting electric-vehicle adoption in Sacramento County to inform charging-infrastructure and power-grid expansion.

UC Davis Department of Economics

May 2024 – Jun 2024

Research Fellow

  • Extracted and constructed a dataset documenting the evolution of Marriage Bar policy at the city level in the USA from 1880 to 1940.
  • Assisted a PhD researcher in collecting data from historical newspaper archives to study how gender policies affected people's lives.

Publications

  • 2026

    Application-Aware Learning-Based Uplink Traffic Allocation for Wi-Fi 7 MLO

    Brian Trinh, Samarth Kulkarni, Duy P. Ngo, Krishna Murthy Kattiyan Ramamoorthy

    IEEE 32nd International Symposium on Local and Metropolitan Area Networks (LANMAN), 2026

Awards

  • Dean's Honor List — Fall Quarter 2024
  • Dean's Honor List — Winter Quarter 2024
  • Initiative recognized by Susan Corbelli (SMUD)

Skills

Technical

PythonRSQL StataSASC/C++ BASHLinuxTensorFlow PyTorchscikit-learnOpenCV AirflowDockerGit ns-3HyperOpt

Analytics

Machine LearningDeep Learning Reinforcement LearningNeural Networks Statistical ModelingOptimization Predictive ModelingNLP LLMs

Relevant Coursework

Statistics & Machine Learning

Data Storytelling · Gateway to Data Science · Financial Forecasting · Econometrics · Analysis of Economic Data · Economics & Business Data Analytics (Machine Learning)

Computer Science

Programming & Problem Solving · Object-Oriented Programming · Discrete Math for Computer Science · Image & Video Processing

Mathematics

Linear Algebra · Multivariate Calculus · Differential Calculus

Certifications

  • Docker Foundations Professional Certificate
  • IBM Python for Data Science, AI & Development
  • IBM Data Visualization & Dashboards with Excel and Cognos
  • IBM Introduction to Data Analytics · IBM Excel Basics for Data Analysis
  • Machine Learning with Python: Foundations
  • Power BI Essential Training