Machine Learning, Python, C++

Sebastian Wyszynski

§ github.com/SebWysz ï linkedin.com/in/sebastian-wyszynski # ************@*****.*** Education

University of Illinois Urbana-Champaign May 2025

B.S. Mathematics and Computer Science Current GPA: 3.9/4.0 Coursework

Courses: Object-Oriented Programming, Data Structures & Algorithms, Machine Learning, Embedded Systems, Discrete Math, Linear Algebra, Calculus, Probability & Statistics, Real Analysis, Graph Theory Skills

Languages: Python, C/C++, R, Rust, HTML/CSS, LATEX Tools: Git/GitHub, Unix Shell, VS Code, Neovim, Docker, Pytorch Libraries: Pandas, NumPy, Sympy, Matplotlib, Tokio, Serde, Reqwest Experience

Research Assistant University of Illinois Urbana-Champaign Jan. 2024 – Present

• Refactored a Python library for automating calculations related to special moment frames.

• Enhanced material properties module ensuring compliance with structural engineering standards. CS 225 Course Assistant University of Illinois Urbana-Champaign Jan. 2024 – Present

• Conducted weekly office hours and labs, boosting student understanding and problem-solving abilities.

• Simplified the data structures and algorithms for students, enhancing their comprehension. Research Intern Harvard Medical School at Mass General Brigham Jun. 2023 – Aug. 2023

• Iafrate Research Group for Oncology Research, analyzed 2M+ genetic markers in R; enhanced report efficiency.

• Pioneered cell-free DNA analysis, and developed ML model, increasing cancer diagnosis prediction accuracy Data Consultant AngioWave Imaging, LLC. Jun. 2021 – Oct. 2021

• Labeled 1,000+ angiogram images for neural network training.

• Contributed to Pytorch neural network development enhancing efficiency.

• Optimized data processing, achieving 20% faster model training. Projects

Lego Line Taxi @ HackIllinois2024 Python, OpenCV, Raspberry-Pi, Wiring Feb 2024

• Developed an autonomous robot that follows a line and avoids obstacles, utilizing state machine architecture.

• Employed color filtering for accurate path alignment and ultrasonic sensors for obstacle detection.

• Developed line following and obstacle avoidance algorithms while addressing sensor inaccuracies. A* Search C++, Catch 2, Benchmarking, Git Nov. 2023

• Achieved 30% faster runtime than BFS and ensured 99% algorithm accuracy with comprehensive Catch 2 tests.

• Analyzed 5 unique datasets, including a large-scale real-world set, and visualized 1,000+ paths as PNGs Hobbies

Weightlifting 2022 – Present

Passionate about fitness and weightlifting, showcasing discipline and personal health commitment. Reading (Highlights: Fountainhead -Ayn Rand, Dune -Frank Herbert) 2020 – Present Avid reader in mainly self-improvement, science fiction, and social analysis.

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