Applied Math
& Engineering.
Applied Mathematics student with experience in full-stack engineering, machine learning, and system design. Built production-level web platforms, real-time multiplayer systems, and deep learning models with explainability analysis. Founder & President of a university organization. Focused on building reliable, scalable, and interpretable systems.

Location
Miami, FL
Biography
Languages
Professional Philosophy
"I build reliable, scalable, and understandable systems. I prioritize strong structure over shortcuts and iterate until behavior is predictable. Pressure reveals system quality."
Academic & Technical Focus
Statistical Modeling
Regression, classification, inference, predictive analytics, and probabilistic reasoning.
Stochastic Systems
Random processes, simulation modeling, uncertainty quantification, and probabilistic dynamics.
Machine Learning
Supervised learning, feature engineering, evaluation pipelines, and optimization.
Computational Engineering
Numerical methods, algorithm design, and performance-aware software systems.
Personal Interests
Discipline outside the code.
Chess
Competitive Team Captain. Tournament organization and strategic decision-making under pressure.
Strength Training
Consistency and progressive overload methodology.
Electronics
Hardware repair and system maintenance.
Swimming & Sports
Volleyball, Tennis, active recovery.
Selected Work
Product-level engineering and research systems designed for reliability and scale.
Darhaal Games Platform
A comprehensive gaming architecture featuring synchronized lobbies, real-time WebSocket state management, and an extensible game loop engine. Currently hosting networked implementations of Battleship and Minesweeper.
Experience & Education
President & Founder
Founded and scaled a student organization, developed governance structure and constitution, and built a full-stack platform for managing events, members, and content. Combined leadership with technical execution.
Math & Physics Tutor
Tutored 300+ students in differential equations, linear algebra, calculus, and physics. Improved class performance by 20–30% using structured visual problem-solving frameworks.
B.S. Applied Mathematics
GPA: 3.65/4.00. Focus: Statistical modeling, stochastic processes, optimization, machine learning, explainable AI.
Technical Stack
Let's build something together.
I am currently seeking SWE and ML internship opportunities for Summer 2026. My inbox is always open.