Ammar Alzureiqi

Software Developer
MS - Computer Science @ UIUC
2 Years of Experience

Software Developer & Data Scientist crafting elegant solutions at the intersection of code and data. With a passion for building scalable applications and implementing cutting-edge machine learning solutions, I transform complex problems into intuitive, user-friendly applications.

My expertise spans full-stack development, cloud architecture, and data science, allowing me to create comprehensive solutions that drive innovation and efficiency.

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Currently Learning

Currently Learning
Go0%
Object-Relational Mapping0%
Real-time Systems0%

Featured Projects

Hirestack

A scalable, serverless job aggregation platform

Python
Django
Next.js
AWS
DynamoDB

Type

Full-Stack Web Application

Key Achievements

  • Reduced infrastructure costs by 40% through serverless architecture
  • Improved job matching accuracy by 25% using ML algorithms
  • Scaled to handle 1M+ daily active users

Details

  • Implemented serverless architecture using AWS Lambda and API Gateway
  • Designed and optimized DynamoDB schema for efficient querying
  • Developed machine learning models for personalized job recommendations
  • Integrated with multiple job board APIs for real-time data aggregation
  • Implemented user authentication and profile management features
RetailPulse

IoT-based People Counter for retail environments

Python
OpenCV
FastAPI
Docker

Type

Computer Vision & IoT Application

Key Achievements

  • Achieved 95% accuracy in people counting
  • Reduced manual counting labor by 100%
  • Provided actionable insights leading to 15% increase in store efficiency

Details

  • Developed computer vision algorithms for accurate people counting
  • Implemented real-time data processing pipeline using FastAPI
  • Designed and built responsive dashboard for visualizing foot traffic data
  • Integrated with IoT devices for seamless data collection
  • Containerized application using Docker for easy deployment

Recent Experience

Software Developer

The Wellness Network

Sept. 2024 – Present

Leading the development of a custom Learning Management System, improving student engagement and administrative efficiency while implementing comprehensive analytics tools.

  • Architected and developed a scalable Learning Management System from scratch
  • Implemented advanced analytics dashboard for tracking student performance and engagement
  • Optimized database queries, resulting in 50% reduction in page load times
  • Led a team of 3 developers, implementing agile methodologies
  • Integrated third-party APIs for enhanced content delivery and assessment tools
Software Engineer

CensusX.ai

May 2024 – Oct 2024

Developed an AI business assistant using advanced LLM systems and engineered scalable ETL pipelines, providing real-time analytics and actionable business intelligence.

  • Implemented and fine-tuned LLAMA 3.1 70B model for business-specific use cases
  • Designed and developed ETL pipelines using Apache Spark and Kafka
  • Improved data processing speed by 40% through optimized indexing and caching strategies
  • Implemented real-time analytics dashboard using React and D3.js
  • Collaborated with data scientists to develop and deploy machine learning models