Hey, I am

Nathan Bekele.

Creating tangible change with every line of code.

A software engineer with a solid foundation in computer science. I combine technical expertise with a commitment to fostering inclusivity and empowering underrepresented voices within the tech community.

Resume

About Me

My journey into computer science began with a Minecraft server I built and managed as a 11 years old. This experience taught me to code, manage a community, and sparked a lifelong passion for technology. Currently, I’m pursuing a B.S. in Informatics at the University of Washington, with minors in Data Science and Business Entrepreneurship.

As someone deeply involved in the arts, I see coding as a creative process where logic and imagination converge. I develop web applications that are not only functional but also visually appealing and user-friendly. My technical expertise is paired with a dedication to enhancing data accessibility and efficiency, striving to make technology more inclusive and impactful.

Here are a few technologies I've been working with recently:
  • Java
  • Python
  • R
  • HTML
  • CSS
  • JavaScript
  • React
  • NodeJS
  • SQL
  • TypeScript
  • Swift
  • C++
  • Go
  • Kotlin

Experience

Software Engineering Intern - University of Washington
Jun 2024 – Present
  • Managing the design, development, and testing of advanced QGIS plugin features for NSF’s QIceRadar.
  • Enhanced data accessibility for 220+ researchers by developing a user-friendly web app to display subglacial data availability and plugin instructions.
  • Optimized database index layer using Python multiprocessing, RDP algorithm, and subsampling techniques.
  • Reduced data processing runtime by 30% by generating multi-resolution datasets and optimizing data retrieval.
  • What I am working on —> https://extraordinary-malasada-8e5158.netlify.app/.
Open-Source Software Engineering Intern - CodeDay Labs
Jul 2024 – Present
  • Engineered a communication app for CodeDay interns with secure login, task tracking, friend management, group chats, dynamic event data, and real-time messaging using React, NodeJS, MongoDB, and CodeDay’s Clear API.
Software Engineer - United Freight
Jul 2024 – Present
  • Proposed and currently developing a secure personalized Flask-based app for 25+ drivers to eliminate paper logging.
  • Integrated admin oversight and expanding to iOS/Android to enhance data accuracy, efficiency, and operations.
  • Implemented concurrency control in PostgreSQL to ensure data integrity and handle simultaneous user operations.
Nonprofit Consulting Extern - PwC
Jul 2024 – Present
  • Enhanced operational efficiency and impact for The Children’s Room through tech solutions and strategic consulting.
VC Industry Research & Data Analysis Extern - Energy Innovation Capital
Mar 2024 – May 2024
  • Conducted comprehensive market analysis to identify emerging trends, evaluate competitive landscapes, and uncover key opportunities for growth in the energy sector.
  • Conducted due diligence on a startup to prepare an investment summary to highlight the viability and growth potential of potential investments.
  • Prepared a market data analysis presentation for the identified deal to drive investment decisions.

Education

Expected May 2026
B.S. Computer Science/Informatics
University of Washington
GPA: 3.6
  • Minor in Data Science
  • Minor in Business Entrepreneurship
  • Coursework: Data Structures & Algorithms, Client-Side Development, Algorithms Design & Analysis, Databases and Data Modeling, Operating Systems & System Programming, Computer Architecture

Projects

NutriGenius – Diet Tracking Application
NutriGenius – Diet Tracking Application
- Led a team of 4 and engineered 'NutriGenius', a nutrition tracking web app using HTML, CSS, JavaScript, and React with Firebase managing a database of over 800 food items. - Enhanced UX by implementing a searchable database with advanced filters for detailed dietary tracking and analysis. - Created 8+ interactive quizzes on nutritional knowledge, improving user engagement and dietary awareness.
AI Content Detection in Academic Research
AI Content Detection in Academic Research
- Developed a Python web scraper to analyze academic papers, identifying AI-generated content through key phrases. - Conducted in-depth pandas data analysis, revealing an 821% increase in AI prevalence in research phrases post-2022.
Seattle Restaurant Finder App
Seattle Restaurant Finder App
- Built a React web app with Node.js and Express to recommend users top 5 Seattle restaurants via Places API. - Implemented user quiz and ranking algorithm for personalized restaurant suggestions based on 2500+ locations.

Get in Touch

My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!
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