Background
Azieb is a firm believer that we should never stop growing. That mindset is the throughline of her career. She has continually expanded into new technical disciplines, including finance operations, IT/systems administration, data engineering, automation tooling, and now applied AI/machine learning, picking up whatever skills a problem demanded.
That range shows up directly in her project work: building computer vision preprocessing pipelines, training predictive machine learning models, and architecting full analytics platforms, from synthetic data generation through transformation, warehousing (dbt/DuckDB), and visualization (Tableau/Amplitude). She's equally comfortable administering business software and network systems, auditing legacy ERP systems, engineering SQL/Python data pipelines, or training a classifier, and she actively seeks out work that draws on more than one of these strengths at once.
To continuously sharpen her technical edge, she is currently advancing her skills through a specialized Artificial Intelligence program at The Tech Academy, alongside holding a Google AI Professional Certificate. She views AI and machine learning not as a side interest but as a core, growing part of her technical toolkit, one she's actively building projects around and wants to keep deepening.
She's open to roles across data engineering, data analytics, machine learning, AI engineering, systems/IT administration, and technical operations with a mission-driven organization, wherever her cross-disciplinary background and hands-on technical range can have the most impact and she is afforded the opportunity to learn and grow.