JACOB KALINOVSKIY

414-***-**** adz7mr@r.postjobfree.com

Champaign, IL, 61820 www.linkedin.com/in/jacob-kalinovskiy https://github.com/kalaj3 EDUCATION

University of Illinois at Urbana-Champaign May, 2025 B.S: Computer Engineering Innovation, Leadership, and Engineering Entrepreneurship Minors: Physics, Math

GPA: 3.81

Related Coursework: Data Structures and Algorithms, Probability for Engineering, Combinatorics, Linear Algebra, Differential Equations

SKILLS

Technical: Python, C/C++/C#, Java, SQL, Pytorch, Debugging, Data Visualization, Unit Testing, Docker Soft: Critical Thinking, Leadership, Clear Communication, Problem Solving, Time Management, Teamwork WORK EXPERIENCE

Siemens-Healthineers May 2023 – August 2023

Software Engineering Intern Hoffman Estates, IL

• Prototyped a data-streaming and instant update feature which boosts medical-diagnosis speeds by 200% by transitioning to continuous information processing

• Designed automatic data collection and processing to enhance user experience and boost doctor productivity

• Investigated and resolved application functionality issues through blackbox, unit, and integration testing

• Presented code and design reviews and maintained high-quality standards throughout codebase. Quant Illinois September 2023 – Present

Internal Analytics Developer Champaign, IL

• Currently developing an innovative internal tool that systematically tracks and analyzes member metrics, to enhance resume books for prospective companies and providing valuable insights for recruitment and member development initiatives.

• Developing an API to gather member and contribution data to visualize and evaluate goal actualization

• Leveraging data analytics to refine recruitment strategies to result in a streamlined application process and the identification and attraction of high-caliber candidates. PROJECT EXPERIENCE

Trading Signal Generator using Predictive Analytics Skills: Python, Seaborn, Stats Models, Pairs Trading, Pandas, Jupyter Notebook

• Identified most prominent stock correlations for major tech companies and established target pairs

• Ran Augmented Dickey-Fuller and Cointegration tests and determined potential long-term correlations

• Traced price ratio of target pairs to determine abnormal trends and generate buy/sell flags

• Plan to implement RSI, Momentum, and Bollinger Band indicators to improve signal generation Food Identification AI

Skills: Python, Pytorch, Data Cleaning, Pandas, NumPy, Matplotlib, Jupyter Notebook

• Prepared a food classification dataset through data cleaning, labeling, and image transformations

• Developed a CNN-based AI which could identify with 97% accuracy clothing types using self-prepared

• Used data visualization to track loss and accuracy of models and improve model training process Photo Mosaic Generator

Skills: C++, Optimization, Recursion

• Transformed a PNG into a mosaic by matching optimal image-pixel pairs using the luva color space

• Optimized quickselect algorithm to use hyperplanes for value-proximity search using k-d trees

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