Hi! I'm Darya Pylypenko. I'm a computer science student from the United States.
I'm a B.S./M.S. Computer Science student at Florida State University. I have research experience in algorithms, systems, and AI. My background includes C++, Python, and quantitative analysis. I'm seeking a quantitative research/developer internship to apply data modeling, algorithmic problem-solving, and software engineering skills.
September 2025 – Present
Conduct research in adversarial machine learning focusing on Graph Neural Networks. Reproduced a state-of-the-art GNN fingerprinting framework using PyTorch, simulating large-scale adversarial attacks on graph models. Analyze results to develop statistical defenses for model ownership verification, contributing to open-source AI security tools.
August 2025 – Present
Developed C/C++ algorithms to parse and analyze large X-ray and neutron scattering datasets in a materials science lab. Implemented data-processing pipelines that extracted quantitative patterns from multi-gigabyte experimental data, improving researchers' insight into material structures. Built an interactive data visualization GUI using wxWidgets in C++.
August 2025 – Present
Maintained and updated official FSU web platforms including the President's Office, ITS, Provost sites with a focus on performance and accessibility. Implemented responsive design improvements and content updates highlighting FSU's AI initiatives (ai.fsu.edu).
April 2025 - Present
Lead a 100+ member organization to promote diversity in tech. Organize coding workshops, mentorship programs, and industry networking events. Partner with companies and alumni to host technical talks on data science and software engineering.
May 2025 – August 2025
Built generative AI applications using LangChain, LlamaIndex, and retrieval-augmented generation workflows. Implemented embedding-based search with OpenAI API and Redis, deploying scalable AI services on Google Cloud.
Personal Project, Python/Pandas (2025)
Designed and back-tested a trading strategy on historical stock data using Python. Implemented a moving-average crossover algorithm to generate buy/sell signals on S&P 500 daily data. Evaluated performance with key metrics (Sharpe ratio ≈ 1.2, max drawdown 8%) using pandas and NumPy for vectorized computations. Optimized execution by 50% via algorithmic improvements (avoiding Python loops).
Personal Project, C++ (2025)
Built a C++ Monte Carlo simulation engine to price European stock options. Modeled random price paths (Geometric Brownian Motion) and computed option payoffs over 1e6 simulations, utilizing multi-threading for efficiency. Achieved pricing results within <1% of the Black-Scholes formula. Applied probability theory and statistical analysis to estimate option risk-neutral pricing, and profiled the code to optimize runtime using STL and OpenMP.
C++, Python, Open AI API, Vercel, HTML, CSS, JavaScript, PHP, MySQL, Adobe Photoshop
A full-featured e-commerce site for an Italian tile business. The project involved building custom product pages, integrating PHP and MySQL for backend management, and optimizing SEO across listings on Etsy and eBay. Additional work included creating visual branding using Canva and Photoshop.
C++, C, Unix
A collection of C++ and C projects showcasing skills in object-oriented programming, data structures, algorithms, file I/O, and game development. Includes applications such as text-based games, data analysis tools, and simulation programs, demonstrating proficiency in problem-solving, clean code practices, and efficient program design.
I'm always interested in new opportunities and collaborations. Feel free to reach out!
Email: DaryaP101@gmail.com
Phone: (941) 275-0410
Location: Tallahassee, FL
Website: https://daryapylypenko.com
GitHub: github.com/lldaryall
LinkedIn: linkedin.com/in/darya-pylypenko
This is a short CV. If you need a full academic CV please write to my email account.