Hi, I'm Garang Stephen

Computer Science @ Stanford. Building end-to-end systems across web, mobile, and AI. Passionate about using technology for equity and education.

Dec 2026 Graduation
7+ Internships
Garang Stephen

About Me

I'm a student at Stanford University studying Computer Science with a focus on AI/LLMs, financial systems, and full-stack development. I have experience across iOS development, web applications, machine learning, and distributed systems. I'm passionate about building technology that creates equity and improves education. When I'm not coding, I enjoy exploring aviation and defense tech.

Education

Stanford University — B.S. in Computer Science

Expected December 2026

Relevant Coursework:

Data Structures & Algorithms (C++) • Introduction to Computer Programming (Python) • Linear Algebra w/Computational Applications (Python) • Operating Systems Principles • Mathematical Foundations of Computing

Experience

Stanford University — Research Assistant

June 2025 – September 2025 • Management Science & Engineering

  • Automated data acquisition pipelines that reduced dataset preparation time by 60%, enabling faster LLM fine-tuning for financial trend prediction
  • Retrieved and validated 100k+ records from decentralized sources, ensuring 99% data integrity for AI sentiment analysis
  • Authored reproducible documentation and scripts, improving research reproducibility and onboarding efficiency by 40%

YesTech Corp — iOS Developer Intern

January 2025 – March 2025

  • Built and deployed new iOS app features with Swift and Firebase, reducing crash reports by 30% through robust testing
  • Integrated REST APIs to improve app data sync, decreasing average load times from 1.5s to 0.8s
  • Collaborated with product designers to refine UI/UX, leading to a 12% boost in daily active users (DAU)

Aloko — Software Engineering Intern

November 2024 – December 2024

  • Implemented secure multi-method authentication with Firebase Auth (email + social login), reducing sign-in errors by 45%
  • Developed reusable React/Next.js components and applied state management, improving developer velocity by 25% across teams
  • Optimized backend API calls with Node.js, reducing redundant requests and cutting server costs by 15%

Goldman Sachs — Software Engineering Analyst

May 2024 – June 2024 • Virtual Insight Program

  • Prototyped algorithmic trading logic using Java + in-house Slang, simulating strategies with 10% latency reduction compared to baseline
  • Explored distributed systems design, evaluating fault-tolerance approaches to improve system uptime reliability

Google — Software Engineering Intern

May 2022 – August 2022 • Product Sprint Program

  • Designed and deployed a web app on Google Cloud (App Engine, Firestore, Logging) serving 1,000+ requests/day for local restaurant search
  • Implemented real-time data visualizations with Java/JavaScript/HTML/CSS, improving search relevance satisfaction scores by 20%
  • Paired with peers in agile sprints, delivering production-ready features under tight deadlines

PataKeja — Software Engineer Intern

February 2022 – July 2022

  • Integrated APIs with frontend and developed pixel-perfect UI for Android housing app, boosting app rating from 3.8 to 4.5 stars
  • Built Python ETL scripts to import 50k+ housing records into PostgreSQL, reducing manual data entry by 90%
  • Collaborated cross-functionally to improve navigation flow, cutting bounce rate by 18%

Projects

Vacation Request API

Python FastAPI PostgreSQL pytest

Spring 2025

  • Designed end-to-end system for employee leave approvals, gathering feedback from 5 pilot users to iterate on manager workflow design
  • Built REST API for managing employee vacation requests with tools for managers to view, approve, or reject requests

Speech Recognition with Multi-task Deep Learning

Python TensorFlow Deep Learning

Spring 2025

  • Built a multi-task deep learning model for phoneme recognition and speaker identification using spectrogram features
  • Defined problem scope and success metrics for multi-task model, improving accuracy by 15%

Skills & Technologies

Programming Languages

Python C C++ Bash SQL HTML/CSS JavaScript

Developer Tools

Git GitHub Linux PyCharm VS Code Node.js Docker

Data & AI

Dataset Acquisition/Validation LLM Fine-tuning Data Quality Analysis AI Tool Experimentation TensorFlow

Systems & Networking

Virtualization (VMs) RAID Linux Scripting Storage Protocols AWS TCP/IP OSI Model