Who I am

My name is Yasseen Hilal and I am a computer science student at the University of Texas at Austin in the College of Natural Sciences. I am a motivated and adaptable individual with a strong interest in STEM and a drive to make a positive impact. I am actively seeking out diverse experiences and opportunities to expand my knowledge and skills.

Yasseen
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Technical Skills

Programming Languages

  • Java

  • Python

  • TypeScript

  • JavaScript

  • C/C++

  • SQL

  • Bash

  • PHP

  • HTML

  • CSS

  • ARM Assembly

Frameworks & Libraries

  • React

  • Next.js

  • Node.js

  • Flask

  • Express.js

  • Tailwind CSS

  • Bootstrap

  • pandas

  • scikit-learn

  • JSoup

  • Discord.py

Tools & Platforms

  • Git

  • Linux

  • Google Cloud

  • Docker

  • Firebase

  • Jira

  • Vercel

  • Prisma

  • OpenAI API

  • CI/CD

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Featured Projects

AI Newsletter Icon

Overexplained - AI Powered Daily Newsletter

Tech Stack: GCP, React, Express.js, OpenAI, Prisma, Resend

  • Built fault-tolerant daily newsletter pipeline with round-robin topic selection, guaranteeing personalized content delivery to subscribers.
  • Implemented Prisma cache-aside layer for OpenAI content by topic/date, reducing API calls by 60% while maintaining content freshness.
  • Scaled infrastructure using GCP Cloud Run/Jobs and Cloud Scheduler with secure OIDC authentication for reliable delivery.
AI Chatbot Icon
AI Chatbot for CS Students

Tech Stack: Next.js, JavaScript, OpenAI API, Vercel

  • Engineered context-aware AI chatbot tailored for computer science students with customizable conversation flows.
  • Implemented intelligent response generation and deployed on Vercel with optimized performance.
Discord Bot Icon
AI-Powered Discord Bot

Tech Stack: Python, Discord.py, Gemini API, PyPDF

  • Created intelligent Discord bot with PDF summarization capabilities using Google's Gemini API.
  • Enhanced user productivity through automated document processing and natural language responses.
Movie Recommender Icon
Movie WebScraper & Recommender

Tech Stack: Java, Jsoup, Python, pandas, scikit-learn

  • Developed comprehensive web scraping and recommendation system for personalized movie suggestions.
  • Implemented machine learning algorithms to analyze user preferences and provide accurate recommendations.
Huffman Compressor Icon
Huffman File Compression System

Tech Stack: Java, Data Structures & Algorithms

  • Built efficient Huffman encoding system achieving 40% average file size reduction while maintaining data integrity.
  • Implemented robust error handling and cross-format compatibility for production use.
Connect 4 Icon
Connect 4 Game Engine

Tech Stack: Java, Swing GUI, Game Logic

  • Designed and implemented scalable Connect Four game with modular architecture and robust game logic.
  • Created intuitive user interface using Java Swing with responsive design patterns.
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Certifications & Achievements

Generative Artificial Intelligence

Certified in advanced AI/ML technologies and generative model applications

Artificial Intelligence Text Embeddings

Specialized certification in AI text processing and semantic understanding

Computer Science Student

University of Texas at Austin, College of Natural Sciences

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