Experience
My professional journey in software development and data science.
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
CensusX.ai
May 2024 – Oct 2024
Developed an AI business assistant using advanced LLM systems (LLAMA 3.1 70B) and RAG. Engineered scalable ETL pipelines with Apache Spark and Kafka, boosting data processing speed by 40%.
- 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
MK Bookkeeping and Tax Services
Jan. 2023 – Aug. 2023
Developed and deployed a full-stack employee time-tracking application and automated invoice processing system, reducing payroll processing time by 40% and significantly minimizing data entry errors.
- Developed full-stack employee time-tracking application using Flask and PostgreSQL
- Implemented robust API endpoints and data validation techniques
- Engineered an automated invoice processing system using OCR technology
- Reduced payroll processing time by 40% through efficient system design
- Collaborated with the finance team to ensure accurate data integration