PERSONAL RESUME

Yuhi Tanaka

Computer science, software development, and research.

Resume

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Yuhi Tanaka
yuhi@engineering.upenn.edu | linkedin.com/in/yuhitanaka | github.com/7uhi

Education
University of Pennsylvania

Philadelphia, PA

Master of Applied Science in Computer Science
• Coursework: Intro to Software Development, Computer Systems, Discrete Math

Expected May 2028

Soka University of America

Aliso Viejo, CA

Bachelor of Arts in Liberal Arts, Concentration in Life Sciences (GPA: 3.87)
Aug. 2022 – May 2026
• Coursework: Intro to Computer Science, Linear Algebra, Network Science, Calculus I–III, Probability & Statistics

Skills & Certifications
Languages: Python, C++, Java, JavaScript, HTML/CSS, R
Frameworks & Libraries: scikit-learn, pandas, NumPy, Matplotlib, RDKit
Developer Tools: Git, GitHub, VS Code, GitHub Copilot, Cursor, Claude Code, Power BI, SPSS, Microsoft Office Suite
Foreign Languages: English (Native), Japanese (Native), French (Intermediate)
Certifications: Google IT Support Specialization - Coursera (July 2024), Foundations of AI Engineering - CodePath (May 2026)

Projects
Collaborative Travel Planner | Next.js, React, TypeScript, PostgreSQL, Prisma, Auth.js, Tailwind CSS
2026
• Built a full-stack collaborative travel-planning application with shared itineraries, availability polling, invite-based
collaboration, travel preferences, and Splitwise-style group expenses
• Built a PostgreSQL backend with Prisma and React Server Actions; implemented Google OAuth authentication with Auth.js
and role-based authorization for owners, editors, and viewers
• Developed expense-splitting and group-consensus algorithms, guaranteeing exact monetary splits while simplifying group
debts to at most n-1 payments and aggregating member travel preferences
Buddhist Center TV Display | JavaScript, HTML/CSS, Playwright, GitHub Actions, REST APIs, GitHub Pages
2026
• Built and deployed a web display for the Orange County Buddhist Center, replacing a hard-to-read calendar with live events
and schedules for a community receiving 600+ monthly visitors
• Developed a Playwright scraping pipeline that converts calendar data into structured JSON, handles multi-day events and
filtering, and refreshes a rolling 14-day dataset 3× daily through GitHub Actions
• Designed resilient frontend behavior with REST API integration, localStorage fallbacks, automatic data refreshes, and
adaptive layouts supporting 8+ simultaneous events on 1080p displays
Quantifying Lewis Acidity: ML & Statistical Analysis | Python, scikit-learn
Sep. 2025 – May 2026
• Developed and optimized machine learning models (scikit-learn) to predict Lewis base affinities toward BCl3 from
DFT-calculated molecular descriptors
• Built a comparative analysis pipeline between BCl3 and BF3 affinities to statistically examine Lewis acidity trends
• Contributed novel predictive baselines to the research group, directly supporting 2 ongoing chemical studies

Experience
Information Technology Help Desk Technician

Oct. 2022 – Aug. 2026

Soka University of America
Aliso Viejo, CA
• Diagnosed and resolved hardware, software, and network issues across Windows/macOS for the campus community
• Supported 500+ students, 200+ staff, and 80+ faculty to ensure minimal downtime
• Resolved 150+ support tickets weekly through ticketing systems, supporting users remotely and in person

Cheminformatics Undergraduate Research Assistant

Oct. 2025 – May 2026

Soka University of America
Aliso Viejo, CA
• Built pipelines for molecular data processing, conformer generation, and automated parsing of 100+ DFT output files
• Developed data analysis and visualization tools to evaluate fluorescence properties across 10+ molecular environments
• Trained 2 research group members in Python and created tutorials for reproducible scripting workflows

Computational Chemistry Undergraduate Research Assistant

May 2025 – Jul. 2025

Soka University of America
Aliso Viejo, CA
• Built Python models with scikit-learn to predict chemical properties from molecular descriptors
• Achieved a MAE of 12.58 kJ/mol and Pearson r = 0.897 against DFT-calculated values for a small dataset
• Engineered data cleaning, analysis, and visualization pipelines to prepare and validate datasets for model training

RFP/Business Development Intern

May 2024 – Aug. 2024; Feb. 2025 – May 2025

HOTB Software
Irvine, CA
• Designed and built 10+ interactive Power BI dashboards surfacing 8+ key metrics, reviewed by the CEO and president
• Developed Python scripts to automate data mining, cleaning, and sorting across internal company datasets
• Eliminated recurring manual data entry, saving 4 hours per month in the president’s budgeting workflow

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