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Ruuudy1/README.md

👋 Hi, I'm Rudy Osuna (he/him)

🎓 Computer Science Major @ CSE UC San Diego
📊 Business Analytics Minor @ Rady School of Management UC San Diego
💼 Incoming MLE @ LPL Financial
🎯 President @ Triton Quantitative Trading UCSD


I’m passionate about bridging the gap between finance and computer science—bringing complex financial concepts to life through hands-on algorithmic trading, data analysis, and hardware acceleration. With a proven track record in quantitative finance competitions and teaching experience in trading strategies, I strive to empower others through accessible financial education.

Currently, I lead UCSD’s official quantitative trading team and host seminars on risk management, options trading, Monte Carlo simulations, and more. Let's connect if you're into quant trading, financial engineering, or cutting-edge fintech innovation!


Machine Learning

🛠️ Tech Stack

Python Java C++ C JavaScript TypeScript React Docker

💻 Programming Languages

Python · Java · C++ · C · JavaScript · TypeScript · ARM Assembly · C# · R · SystemVerilog · HTML · CSS

🌐 Web & Fullstack Development

React · Node.js · Flask · REST APIs · Express.js · SQL · MongoDB · Docker · Mocha · Postman · DBeaver

📊 Data Science & Quantitative Analysis

Pandas · NumPy · Scikit-learn · Jupyter Notebooks · Tableau · Google Sheets · Microsoft Excel · QuantConnect · LEAN Engine

🔧 DevOps & Developer Tools

Git · GitHub · GitBash · Vim · VS Code · Eclipse · Google Cloud Platform (GCP) · Docker · LaTeX (Overleaf)

⚙️ Hardware Acceleration & Systems

FPGA SoC (PYNQ-Z2) · AMD Vivado · EDA Playground · SystemVerilog · OpenCL · CUDA · RTL Simulation · Ethernet Protocol Design

🧪 Testing & CI/CD

JUnit · Mocha · GitHub Actions · Unit Testing · Integration Testing · Debugging Tools

🌎 Languages

English · Spanish · Portuguese (1200+ consecutive days on Duolingo)


📈 Experience Highlights

🧠 Triton Quantitative Trading – UC San Diego

President (2024–Present)

  • Leading UCSD's official quant team in global competitions like QuantConnect’s Open-Quant League.
  • Hosting seminars in algorithmic trading, machine learning, risk modeling, and hedge strategies.

💻 Fintech Software Engineer Intern – LPL Financial (Summer 2025)

  • Developing fintech applications and automating financial data flows.

🌐 Fullstack Developer – Kaibigang Pilipino

React, HTML, CSS

  • Built and deployed real-time features on the official organization website with responsive UI.

🎓 Education

University of California, San Diego (UCSD)

  • B.S. Computer Science, Minor in Business Analytics
  • First Ever Ruo Gu “Billy” Li Scholarship Recipient
  • SWELL (Students Who Engage, Learn and Lead): Achieved UCSD CCR certification

🧠 Technical Focus

💹 Quant Finance & ML

  • Market Microstructure · Alpha Signals · Options Pricing
  • Monte Carlo Simulation · VaR · Regression Models
  • Tools: QuantConnect · Pandas · NumPy · Scikit-learn · Jupyter

⚙️ Systems & Hardware Acceleration

  • FPGA (PYNQ-Z2) · SystemVerilog · OpenCL · Vivado HLS
  • RTL Simulation · Low-Latency Ethernet Design

🧾 Certifications


🌍 Languages

  • English (Native)
  • Spanish (Native)
  • Portuguese (Professional, 1300+ day Duolingo streak)

📫 Let’s Connect


First-gen Mexican-American · U.S. Citizen

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  1. NeetcodeFromScratch NeetcodeFromScratch Public

    Solving all 150 Algorithm Roadmap Questions

    Python 1

  2. Seminar_2_Options Seminar_2_Options Public

    Slides and Code for strategies: $SPY Buy and hold, $SPY Covered Calls, $SPY LEAPS + Covered Calls

    Jupyter Notebook 2 1

  3. Seminar_DSAInQuant Seminar_DSAInQuant Public

    Data Structures and Algorithms applications to Quantitative Finance

    Jupyter Notebook 2

  4. Seminar_RiskManagement Seminar_RiskManagement Public

    TQT Seminar/Workshop: Risk Management and Hedging Techniques in Quantitative Finance

    Python 2

  5. TQT_X_LPL_Financial TQT_X_LPL_Financial Public

    Triton Quantitative Trading seminar with collaboration with LPL Financial

    1