PERSONAL RESUME
Yuhi Tanaka.
Computer science, software development, and research.
01 Resume
Open document ↗Read as text +
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
For the original layout, open the PDF or download a copy.