Nicolas
Slenko.
— Introduction
Junior Computer Science Student @ UF & Machine Learning Engineer.
Passionate about AI/ML, software engineering, and creating innovative solutions. Currently pursuing Computer Science with a Statistics minor at the University of Florida with a 4.0 GPA 😎.
About Me
I'm a Computer Science student at the University of Florida with a Statistics minor, maintaining a perfect 4.0 GPA. My passion lies at the intersection of machine learning, software engineering, and data science.
From optimizing airfoil performance with reinforcement learning at the Naval Surface Warfare Center to building autonomous vehicle systems, I enjoy tackling diverse challenges that push the boundaries of technology.
When I'm not coding, I'm actively involved in SHPE and GatorTech, lifting, learning new languages, playing the Guitar and Tuba, and exploring the world through travel and outdoor adventures.
Multilingual Journey
I'm fluent in Spanish and English, currently learning Russian to connect with my family heritage, and starting Japanese as I plan to study abroad in Tokyo. This 275-day Duolingo streak represents my commitment to breaking down language barriers in our global tech community.
Featured Projects (More on Github)
Technologies Used
Technologies Used
Technologies Used
Technologies Used
Technologies Used
Experience
Upcoming internship focused on machine learning operations, model deployment, and MLOps best practices in an industrial manufacturing environment.
Implemented a Deep Deterministic Policy Gradient agent in MATLAB to optimize airfoil performance, achieving a 50%+ increase in aerodynamic efficiency. Utilized XFOIL and Blade Element Momentum theory for physics-based reinforcement learning.
Automated data setup post-natural disasters using Python CLI applications, improving query speeds by 50%. Implemented standard data collection practices with environmental APIs and created web maps using ArcGIS.
Education
Relevant Coursework
Programs & Activities
Technical Skills
Let's Connect
I'm always interested in new opportunities, research collaborations, and exciting projects. Whether you're looking for a machine learning engineer, full-stack developer, or research partner, let's discuss how we can work together.