Leon Do
I'm Leon, a 21 years old apiring software engineer at the California State University of Long Beach, majoring in Computer Science with a minor in Pure Mathematics. My journey into programmming began in high school around 4 ago, sparked by my interest in the sneaker reselling industry. While building my first major project and sneaker bot, Rias Software, I realized I became obsessed with automation, reverse-engineering, and optimization. Since then, I've completely fallen in love with building through the art of programming. For me, programming isn't just code. It's problem solving, system elegance under pressure, and the thrill of turning abstract ideas into performant, real-world solutions. These days, I focus on Low-Latency Engineering, profiling, optimizing, and reshaping performance across both software and hardware levels, from algorithmic design to cache layouts—until my code paths performs like an orchestra.
Recent Interests
Korean BBQ
Quantitative Finance
Judo
Release Hallucination
Elfensjon
Curry Udon
Competitive Programming
C++, Python, Typescript, Golang, Rust
Machine Learning
Takoyaki, Sushi, Katsu
JRock, JMetal, JPop
BBQing
Hardcore, Hardstyle, Frenchcore
Experience
Beach Investment Group・Quantitative Developer Intern
6/2024 - PRESENT
Built modular factor modeling framework using Python and CUDA acceleration, enabling extensible integration of matrix profile algorithms and neural network models for price prediction workflows. Accelerated computation by 60% through GPU-based processing with NVIDIA CUDA/CuPy, reducing model training latency for large financial datasets. Optimized data processing pipelines using Polars, improving end-to-end workflow efficiency of time series data analysis. Developed orthogonalization algorithms for independent factor construction, removing correlation dependencies between predictive variables in multi-asset models. Applied quantitative research methodologies in 2024 CFAOC RFP Competition, securing 1st place and $115K in funding for the student managed investment fund.
Projects & Ventures
Mirai Research・Founder & Lead Software Engineer
5/2024 - 7/2024
Led cross-functional development team to architect cryptocurrency trading platform using TypeScript and GoLang, managing technical roadmap. Achieved 70% faster signal detection than established market intelligence platforms by implementing asynchronous polling systems with circular queue-based resource management, reducing latency under API rate constraints. Built transaction execution pipelines with automated processing workflows, implementing complex blockchain integration and low-level protocol handling, enabling reliable trading operations on Solana blockchain. Engineered monitoring infrastructure, handling data streams and event-driven processing for scalable performance.
High-Performance Monte Carlo Benchmarking Engine
5/2025 - 5/2025
Achieved 10× performance improvement by developing SIMD-accelerated simulation engine in C++17, delivering low-latency systems through vectorization and rigorous memory management. Demonstrated expertise in x86 AMD/Intel microarchitecture by analyzing cache hierarchies (L1/L2/L3) and discovering spillover patterns through hardware performance counters. Reduced cache miss rates from 25% to 5% by implementing custom bump allocator and increased IPC by 3× through memory alignment optimization and latency reduction. Achieved 8-17× CPU throughput improvement using branchless SIMD algorithms (_mm256_cmp_pd, bitmasking) enabling parallel batch processing with low-latency execution. Built high-throughput data pipeline with Python, SQL, Bash, Polars, Parquet storage, and data visualization via Grafana + ClickHouse. Ensured cross-platform compatibility and implemented CI pipeline with GitHub Actions and CMake build system.
Tsundebugger
1/2025 - 1/2025
Currently developing a cross-platform testing framework in C++ to execute and validate Python algorithms with process isolation. Achieved robust error handling and resource management using Boost libraries for Inter-Process Communication, multi-threading, and filesystem operations. Implemented concurrent test execution with thread-safe result handling for improved performance. Developed using Bazel build system for reproducible builds across Unix/Linux and Windows environments. Enabled concurrent test execution, reducing test suite runtimes by 60%, improving CI/CD workflows.
VisionPay
10/2024 - 10/2024
Worked with a team to develop VisionPay, a computer vision powered self checkout system for MarinaHacks. Designed and deployed scalable ML infrastructure with automated preprocessing pipelines, reducing training time by 30% and enabling efficient, consistent data handling for model deployment. Integrated backend systems with front-end architecture, enabling real-time item recognition and receipt generation.
Rust-Based Financial Data Aggregator
7/2024 - 7/2024
Collected and aggregated financial data through the web scraping of various financial websites. Engineered a data processing pipeline to clean and structure data efficiently, reducing data processing time by 30%. Optimized code structure with modular design and object-oriented programming, improving code maintainability and scalability, which facilitated easy updates and extensions to the tool. Utilized text processing algorithms, increasing accuracy of aggregated data.
Rias Software・Founder, Software Engineer
8/2021 - 6/2022
Engineered Javascript & Python based software solutions for automating retail purchases, raffle entry, and interactions with cryptocurrency networks to accrue limited items. Designed and scaled the application to handle concurrent tasks, ensuring a robust and maintainable codebase through object-oriented programming. Developed and optimized data scraping solutions to collect and process product-related data efficiently, handling thousands of lines of data from various sources. Utilized multithreading and task queuing, preventing lag and resource clogging during software usage.
Desktop Application for Sorting Manga Work
6/2023 - 6/2023
Developed a custom application that seamlessly integrated the scraped data into a raindrop.io database, allowing for efficient categorization and management of manga works. Automated data extraction of manga title, description, genres, and covers from websites for comprehensive collection. Optimizing operation time by an estimated 97% Created a custom Windows application using ElectronJS, JavaScript, HTML, and CSS to automate the categorization of manga works. Integrated scraped data seamlessly into the database via a custom application.
Chipotle Rewards Bot
11/2022 - 12/2022
Created an application in JavaScript to automatically find and redeem free Chipotle Entree codes via SMS. Continuously scanned for free Chipotle codes from various websites or platforms using their APIs. Sent and redeemed 100s of collected codes to Chipotle through a VOIP service for successful redemption. Accumulated 4 figures worth of chipotle codes, turning them into profit.
Ethereum Vanity Address Generator
5/2022 - 6/2022
Developed a Javascript application that allows users to specify a custom prefix for their Ethereum wallet address. The application generates wallet addresses iteratively until a matching address with the user's specified prefix is found. Provided users with the ability to obtain ETH wallet addresses that align with their chosen prefix, enhancing the personalization and usability of their cryptocurrency wallets.