About Me
Applied Mathematics graduate from UCLA, passionate about building high-performance systems and exploring the intersection of AI and software engineering.
Technical Expertise
Systems Engineering
Demonstrated through projects in multiple languages including Go, Rust, and Python, with expertise in building efficient and scalable systems.
Machine Learning & AI
Extensive experience with Python's ML ecosystem, building and deploying various systems including sentiment analysis, malware classification, and vector similarity search engines.
Data Infrastructure
Experience with both traditional databases and specialized data structures for high-performance applications.
Security & Cryptography
Implemented security systems including network monitoring, anomaly detection, and cryptographic libraries.
Mathematical Expertise
Strong theoretical foundation applied to algorithm design, performance optimization, and machine learning implementations.
Tools & Practices
Experience with professional development workflows and tools, demonstrated through production-ready project implementations.
Professional Journey
PlungeAI
Nov 2024 - Present
Software Development Intern focusing on high-performance systems and financial technology.
Lull Ventures
Sep 2021 - Aug 2022
Data Analyst Intern driving conversion optimization and A/B testing initiatives.
AMNESIA Media
Jun 2021 - Jul 2021
Data Science Intern implementing NLP and computer vision solutions.
Education
University of California, Los Angeles
B.S. in Applied Mathematics
Class of 2024
Academic Background
My academic journey in Applied Mathematics has shaped my approach to solving complex technical problems, providing a foundation that bridges theoretical rigor with practical applications.
Theoretical Foundations
Developed rigorous mathematical thinking and abstract problem-solving skills essential for algorithm design and system optimization.
Strengthened formal reasoning abilities, directly applicable to cryptographic system design and security protocol verification.
Computational Mathematics
Mastered computational techniques for solving complex mathematical problems, crucial for implementing efficient algorithms and optimizing system performance.
Studied advanced optimization techniques, now applied to enhance performance in distributed systems and machine learning models.
Applied Mathematics
Explored theoretical foundations of modern cryptography, informing my current work on secure system design and implementation.
Combined statistical theory with practical implementation, enabling me to develop sophisticated AI systems and optimization algorithms.
Interdisciplinary Applications
Applied mathematical modeling to strategic decision-making, valuable for designing robust distributed systems and security protocols.
Built a strong foundation in statistical analysis, essential for machine learning and system performance evaluation.
This diverse mathematical foundation enables me to approach technical challenges from multiple angles, whether I'm designing high-performance systems, implementing cryptographic protocols, or developing machine learning solutions. The combination of theoretical depth and practical application continues to inform my technical decisions and system designs.
Beyond the Code
Public Speaking
V.P. of Membership at Bruin Toastmasters, passionate about technical communication and leadership.
Mathematics
Deep interest in applied mathematics, particularly in its applications to machine learning and algorithmic optimization.
System Design
Enthusiast of distributed systems architecture and high-performance computing solutions.