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Master's CS student at UIUC. Graduated from Vanderbilt
Kobe G.

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About Kobe

Bio

I hold a Bachelor of Science in Computer Science from Vanderbilt University with a minor in Data Science, and I am currently pursuing a Master of Computer Science in Data Science at the University of Illinois Urbana-Champaign with a 4.0 GPA. My coursework spans algorithms, data structures, machine learning, database management, cloud computing, and applied deep learning, giving me a strong foundation across both theoretical and practical CS concepts.

In terms of teaching and mentoring...

I hold a Bachelor of Science in Computer Science from Vanderbilt University with a minor in Data Science, and I am currently pursuing a Master of Computer Science in Data Science at the University of Illinois Urbana-Champaign with a 4.0 GPA. My coursework spans algorithms, data structures, machine learning, database management, cloud computing, and applied deep learning, giving me a strong foundation across both theoretical and practical CS concepts.

In terms of teaching and mentoring experience, I have worked one-on-one with peers throughout my undergraduate and graduate studies, helping classmates work through programming assignments, debug code, and understand core CS concepts ranging from recursion and sorting algorithms to SQL queries and machine learning pipelines. I am comfortable breaking down complex topics into approachable steps and adapting my explanations based on a student's level of understanding, whether they are a complete beginner or someone preparing for technical interviews.

Professionally, I have interned as a software engineer at Capital One and Nourish'd, where I built full-stack applications and backend systems using Python, JavaScript, React, Node.js, and SQL. I have also contributed to an open-source machine learning library used in healthcare research, which required writing clear documentation and communicating technical concepts precisely. I am most comfortable tutoring subjects including Python, JavaScript, C++, SQL, data structures and algorithms, machine learning fundamentals, and general computer science coursework at the high school and college level.

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Education

Vanderbilt University
Computer Science
University of Illinois Urbana-Champaign
Masters

Policies

Schedule

Kobe hasn’t set a schedule.

Approved Subjects

Computer Science

Computer Science

I hold a BS in Computer Science from Vanderbilt University and am currently completing my Master of Computer Science in Data Science at UIUC with a 4.0 GPA. I have professional software engineering experience at Capital One and have built full-stack applications using Python, JavaScript, React, Node.js, and SQL across internships and personal projects. I am well-versed in core CS fundamentals including data structures, algorithms, object-oriented programming, and database systems, and have applied machine learning concepts in both academic research and open-source contributions. I am comfortable tutoring students at the high school and college level across introductory through upper-division CS coursework.
Data Science

Data Science

I hold a Bachelor's in Computer Science with a minor in Data Science from Vanderbilt University and am pursuing a Master of Computer Science in Data Science at UIUC with a 4.0 GPA, with coursework in Applied Machine Learning, Data Mining, and Deep Learning. I have hands-on experience applying data science concepts in real-world contexts, including contributing a calibrated machine learning model to PyHealth, an open-source healthcare ML library, validated on clinical ICU data using AUROC and Brier score metrics. I am proficient in Python, pandas, NumPy, scikit-learn, TensorFlow, and PyTorch, and have worked with both structured and unstructured datasets across academic and project settings. I can tutor students at the introductory through advanced level in topics including statistical modeling, machine learning fundamentals, data wrangling, visualization, and Python-based data analysis.
Machine Learning/ AI

Machine Learning/ AI

I am pursuing a Master of Computer Science in Data Science at UIUC with a 4.0 GPA, with dedicated coursework in Applied Machine Learning, Deep Learning for Healthcare, and Cloud Computing Applications. I have applied ML in research contexts, including contributing a calibrated Random Forest model to PyHealth, an open-source healthcare ML library used in clinical prediction tasks, where I designed the training pipeline and validated results on real ICU data using AUROC and Brier score. I am proficient in PyTorch, TensorFlow, scikit-learn, and NumPy, and have worked on projects spanning supervised learning, model calibration, probabilistic outputs, and deep learning for medical image segmentation. I can tutor students at any level on ML and AI topics including model training and evaluation, neural networks, classification and regression, feature engineering, and Python-based ML workflows.
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Hourly Rate: $40
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