AI Project & Operations Specialist

I direct an intensive AI and Data Science bootcamp and manage end-to-end delivery of a multi-module curriculum covering the machine learning lifecycle, from data engineering through production deployment.

I oversee instruction and project execution in NLP, LLMs, Transformer fine-tuning, RAG retrieval systems, SQL, Python ETL, relational and graph databases, MLOps, Docker, FastAPI, Git workflows, and full-stack AI platform integration. I mentor cross-functional project teams on product framing, scope, KPIs, and system evaluation.

I designed a specialized English for Specific Purposes curriculum for QA testing and Generative AI cohorts, with an emphasis on operational documentation and Agile communication.

I facilitated workshops on bug reporting, prompt engineering communication, stakeholder presentations, cross-functional collaboration, and client communication etiquette.

I orchestrated delivery of an enterprise AI Employee platform built with AWS Fargate, Bedrock, and Comprehend across ethics and compliance, customer service, finance, legal, and sales workflows.

I led AI governance strategy, retrieval architecture implementation using Amazon Kendra, OpenSearch, and DynamoDB, and serverless microservice deployments. I also managed IAM controls, container security, encryption, ECS orchestration, ECR registries, deployment pipelines, health monitoring, and auto-scaling standards.

I create specialized business English curricula for technical communication and documentation in the technology industry.

I use data-driven assessments and performance evaluations to measure learning progress, and collaborate with subject matter experts to design training modules for corporate clients.

I led international cross-functional teams delivering AI solutions and reduced overall project development timelines by 25%.

I engineered and managed machine learning products including a Transformer-based conversational emotion detection system and a LATAM disinformation detection platform using BERT and XGBoost. I managed end-to-end delivery from data ingestion and training through deployment for more than five client-facing applications.

I produced technical documentation and system architecture guides for AI and ML platforms, improving developer onboarding and adoption by 20%.

I led technical workshops and community content initiatives, analyzed operational metrics, and implemented retention programs that increased member retention by 15%.

I designed technology-enhanced communication curricula for university engineering courses and used analytics to track learning acquisition metrics.

I developed statistical performance evaluation frameworks, led cross-faculty training initiatives, and created interactive digital materials that connected language learning with technical career readiness.

I direct a team of seven AI engineering interns building enterprise AI solutions from conceptual design through production deployment.

I coordinate AWS cloud architecture and MLOps deliverables, establish code review and documentation standards, and lead weekly technical alignment sessions across departments.

I led community-building and technical delivery workshops for more than 100 AI practitioners across the Middle East.

I managed over seven end-to-end AI and ML projects and mentored junior developers on ML engineering, cloud infrastructure, project execution, and production deployment practices.

Bachelor of Liberal Studies with a minor in Project Management. Expected completion date is listed as Spring 1.

Bachelor of Science in Applied Artificial Intelligence. Expected December 2026.

Master of Science in Computer Science.

Bachelor of Arts in Islamic Studies.