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
Natural Language Processing0%
AI Agents0%
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 significantly by using ML algorithms

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
  • 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

Alzureiqi Solutions

Sept. 2024 – Present

Developing custom solutions for diverse clients including educational institutions and community organizations. Creating specialized platforms that enhance efficiency, engagement, and data-driven decision making.

  • IDA Academy: Streamlined LMS migration and optimization, significantly reducing system load times and enhancing student engagement; developed integrated marketing website with custom student portal enabling real-time progress tracking for students, teachers, and administrators
  • The Wellness Network: Designed and deployed a self-service CMS platform for the organization's website, allowing the marketing team to independently manage content, events, and initiatives without technical support
  • Arqam SIL: Led comprehensive community census development and data analysis for thousands of responses, uncovering key demographic insights and community challenges that directly informed program improvements and resource allocation decisions
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
  • Collaborated with data scientists to develop and deploy machine learning models