Darya Pylypenko

• Building AI toolsets using LLMs to improve code quality and accelerate time-to-market for test solution development on the V93000 ATE platform — industry-leading in RF, high-speed digital, analog, and parametric semiconductor testing
• Developing AI-assisted code generation and quality workflows in Java, integrated with Git/SVN revision control
• Analyzing and publishing measurement data from test instrumentation (oscilloscopes, spectrum analyzers, digital multimeters) and delivering technical presentations to the Application Engineering team
• Contributing to internal training materials for AI toolsets adopted across the engineering organization

• Conducted research on adversarial ML focusing on Graph Neural Network fingerprinting and model ownership verification
• Reproduced state-of-the-art GNN fingerprinting framework using PyTorch, simulating large-scale adversarial attacks
• Developed statistical defenses for model ownership verification, contributing to open-source AI security tools

• Built high-performance C/C++ algorithms to parse and analyze multi-gigabyte X-ray and neutron scattering datasets
• Implemented ETL pipelines extracting quantitative patterns from experimental data
• Created interactive wxWidgets GUI for real-time data visualization — adopted by the lab for ongoing experiments

• Built generative AI applications using LangChain, LlamaIndex, and RAG workflows
• Implemented embedding-based search with OpenAI API and Redis, deployed on Google Cloud
• Collaborated with a global team on open-source projects expanding educational accessibility

• Maintained and updated official FSU web platforms (President's Office, ITS, Provost) with focus on performance and accessibility
• Implemented responsive design improvements for FSU's AI initiatives (ai.fsu.edu)

• Designed and managed CI/CD pipelines, cloud infrastructure, and automated deployment workflows for a competitive $9,000 prize project
• Bridged development and operations to ensure system reliability and scalability under competition deadlines

• Developed and deployed a full-stack platform mapping student identifiers to service site assignments
• Designed scalable, accessible UI backed by structured data storage supporting high-volume student access

Back-tested a moving-average crossover strategy on S&P 500 daily data. Achieved Sharpe ratio ≈ 1.2, max drawdown 8%. Optimized execution by 50% via vectorized NumPy/Pandas computations.

C++ Monte Carlo engine pricing European stock options via Geometric Brownian Motion over 1M simulations with multi-threading (OpenMP). Achieved <1% error vs. Black-Scholes formula.

Full-featured e-commerce site for an Italian tile business. Custom product pages, PHP/MySQL backend, SEO optimization across Etsy and eBay, visual branding with Photoshop.

GPA: 3.7 · Magna Cum Laude · President's List · Dean's List · UROP Scholar · STRIVE Award

Coursework: Probability & Statistics · Calculus I & II · Discrete Mathematics I & II · Data Structures & Algorithms · OOP

Lead 100+ member organization promoting diversity in tech. Organize workshops, mentorship programs, and industry networking events. Partner with companies and alumni for technical talks on data science and software engineering.

Managed budgeting, fundraising, and financial reporting for cancer awareness events.

Led marine conservation efforts — beach cleanups, wildlife monitoring, and educational outreach.