Jp Maestas

Applied Mathematics student at UC Davis with hands-on experience in machine learning, signal processing, and neuroscience research. Builds and evaluates classification models, engineers data pipelines, and communicates quantitative concepts clearly through teaching and mentorship. Comfortable working across Python, MATLAB, C++, and GPU-accelerated environments.

Head Mathematics Tutor - UC Davis AATC

(2026-06)

• Mentor and support tutor development by conducting quarterly observations and facilitating structured feedback sessions to maintain program compliance.
• Manage subject-specific Canvas pages and develop digital resources — including practice problem sets, exam preparation tools, and lecture supplementals — to streamline drop-in tutoring readiness.

Research Assistant - UC Davis Center for Mind and Brain, Toprani Neuroscience Laboratory

(2025-10)

• Engineer unsupervised learning pipelines in MATLAB and Python to support clinical diagnosis workflows for epilepsy patients.
• Design and evaluate classification models to study neural connectivity patterns and their relation to epilepsy propagation.
• Process and manage real-world iEEG data in compliance with professional confidentiality standards.

University Tutor, Calculus, Linear Algebra, Differential Equations, and Classical Physics - UC Davis AATC

(2025-09 - 2026-06)

• Delivered individualized tutoring for upper-division Mathematics and Applied Science courses.
• Reinforced quantitative reasoning and problem-solving fluency through structured, hands-on sessions.

Independent Research Participant - UC Davis Department of Mathematics, Directed Reading Program

(2025-09 - 2026-03)

• Engineered a Wavelet Scattering Transform-based classification model achieving 97% accuracy on real-time vocal recognition.
• Reduced model parameters and training time relative to CNN and RNN baselines while surpassing contemporary benchmarks.
• Conducted literature reviews on current methodology in data engineering and digital signal processing.

Data Science Teaching Intern - UC Davis Cosmos Program

(2025-07 - 2025-08)

• Developed neural networks, data scraping software, and optimization algorithms from scratch to support student learning in a data science curriculum.
• Built a data scraping framework used by 20+ students in a capstone project.
• Developed and maintained an HTML course website to distribute code and lecture materials.

Crew Member - Trader Joe's

(2022-06 - 2024-09)

• Managed dairy section inventory orders using data-driven trend analysis.
• Received annual award for crew leadership and regionally recognized section performance.

Bachelor of Science - Applied Mathematics - University of California, Davis (2026-12)