ayeb ais hmo

Design, develop, and deploy AI solutions across the product portfolio. Build and optimize Retrieval-Augmented Generation (RAG) systems using vector databases. Fine-tune, evaluate, and monitor large language models (LLMs) in production. Develop AI-powered REST APIs and microservices to support application features, and create data pipelines for data collection and preparation. Optimize inference performance for latency and cost. Document AI architectures, workflows, and deployment procedures, and research emerging AI technologies for product needs. Develop and maintain autonomous AI agents.

Developed and maintained sales data within a central database. Evaluated and analyzed fuel data to support operational decisions. Designed and maintained database systems and performed data cleaning to ensure accuracy and consistency.

Designed, developed, and maintained full-stack web applications and production-ready dashboards for data-driven research and operations. Built backend services and REST APIs using Python and Flask, integrating databases and front-end applications into scalable solutions. Developed responsive front-end interfaces and interactive dashboards for data visualization and reporting. Designed and maintained relational databases for efficient storage, querying, and data management workflows. Integrated AI/ML solutions to automate data processing and extract actionable insights, and built data pipelines to collect, clean, transform, and ingest data from sources including Excel files and SQL databases. Collaborated with technical and research teams to translate requirements into reliable, AI-driven software, and continuously improved applications with new features and performance optimizations.