Portfolio

Quantitative Researcher & AI Engineer

I am a Physics Master’s graduate (CSE concentration) focused on decomposing complex systems using first-principles mathematics. My work bridges the gap between theoretical physics and production-ready AI solutions.

Featured Project: The Financial Hamiltonian

I recently developed a volatility forecasting engine that maps market dynamics to a pseudo-Hamiltonian framework.

  • Tech Stack: PyTorch, Scikit-Learn, LSTMs
  • Key Result: Achieved significant predictive stability by identifying long-term steady states in financial data.

View on GitHub

Technical Expertise

  • Languages: Python (Advanced), C++, R, SQL, VBA
  • Frameworks: PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas
  • Mathematics: Stochastic Modeling, Linear Algebra, Asymptotic Analysis, many-body dynamics

STEM Education & Outreach

I am dedicated to making complex scientific concepts accessible through inquiry-based instruction and intentional mentorship.

  • Pedagogy & Mentorship: During a year-long involvement with PISEC, I mentored high school students in project-led physics and engineering activities, utilizing research-based pedagogy to foster "science identity" in underrepresented communities.
  • Curriculum Development: As a Co-Instructor for CU-Prime (Physics 1400: Foundations of Scientific Inquiry), I bridged the gap between introductory learning and professional scientific practice. By facilitating hands-on exploration across a broad spectrum—including optics, acoustics, quantum mechanics, and relativity—I demystified the scientific process for a diverse student body. I intentionally prioritized minority inclusion and diversity, ensuring the curriculum was accessible and reflected the varied perspectives of the global scientific community.
  • Educational Innovation: Published research: "A Smartphone-Based Virtual Reality Plotting System for STEM Education," International Journal of Mathematical Education in Science and Technology (2021).
    DOI: 10.1080/10511970.2021.2006378

Professional Background

With experience ranging from Los Alamos National Laboratory (9.5x algorithm speedup) to business automation and technical lecturing, I specialize in optimizing high-performance systems and translating complex data into actionable strategy.