Darya Pylypenko
Computer Science Student & Research Assistant
Passionate about AI, machine learning, and quantitative analysis. Currently researching adversarial machine learning with Graph Neural Networks at Florida State University.
Computer Science Student & Research Assistant
Passionate about AI, machine learning, and quantitative analysis. Currently researching adversarial machine learning with Graph Neural Networks at Florida State University.
My journey in computer science, research, and leadership
FSU Department of Computer Science, supervised by Dr. Dong
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. Developed experiment design, data handling for thousands of graph queries to detail and cross-team communication.
Personal Venture - Competitive Team Project
September 2025 - Present
Participating as the DevOps Engineer in a competitive team project aiming to win a $9,000 prize. Design and manage CI/CD pipelines, cloud infrastructure, and automated deployment workflows to ensure system reliability and scalability. My role bridges development and operations, enabling the team to deliver high-quality solutions efficiently under competition deadlines.
FAMU-FSU College of Engineering
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++ to display scattering results and spectra.
FSU Information Technology Services
August 2025 – Present
Maintained and updated official FSU web platforms including the President's Office, ITS, and Provost sites. Implemented responsive design improvements and content updates highlighting FSU's AI initiatives, in collaboration with faculty researchers.
Women in Computer Science (WICS)
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, fostering an inclusive and growth-oriented community for underrepresented groups in computing.
Reality AI Lab
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. Collaborated with a global team on open-source projects to expand educational accessibility.
IT Support, Florida Auditor General
August 2025
Shadowed the agency's IT Support group, observing help-desk triage and systems-administration routines while networking with auditors and FSU alumni. Gained first-hand insight into how state-level audit operations leverage technology to safeguard public funds.
Showcasing my technical skills and problem-solving abilities
Python • Pandas • NumPy • Financial Analysis
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).
C++ • Multi-threading • OpenMP • Financial Mathematics
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 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.
PHP • MySQL • JavaScript • CSS • SEO
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.
Python • PyTorch • Graph Neural Networks • Adversarial ML
Advanced research framework for adversarial machine learning on Graph Neural Networks. Reproduced state-of-the-art GNN fingerprinting techniques and developed statistical defenses for model ownership verification. Contributes to open-source AI security tools.
C++ • C • Unix • Object-Oriented Programming
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.
Python • Deep Learning • Neural Networks • Signal Processing
Participating in Kaggle's Brain-to-Text '25 competition to decode neural activity into words. Working on data preprocessing, signal analysis, and building deep-learning models that map neural features to text, with the goal of improving assistive communication technologies for people with ALS or brainstem stroke.
Technologies and tools I work with
C++ (STL, multi-threading), Python (pandas, NumPy, PyTorch), C, Bash, JavaScript
PyTorch, scikit-learn, LangChain, LlamaIndex, Statistical Modeling
pandas, NumPy, Matplotlib, Time Series Analysis, Quantitative Analysis
AWS, Google Cloud, Docker, Git, Linux/Unix, GNU Make
Russian, Ukrainian, Italian, Spanish, English
Data Structures & Algorithms, File I/O, wxWidgets, Adobe Photoshop, Canva
Let's connect and discuss opportunities