Ayoub A.

Key Skills

Software

Other

Top Subject Matter

LLM integration

RAG pipelines

semantic retrieval

Top Data Types

Text

Top Task Types

Text Generation

Prompt + Response Writing (SFT)

Freelancer Overview

Full Stack AI Engineer at Car Housing (AI/LLM feature delivery with RAG + LLM integration). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Mishkah University (2020). AI-training focus includes data types such as Text and labeling workflows including Text Generation and Prompt + Response Writing (SFT).

Labeling Experience

Full Stack AI Engineer at Car Housing (AI/LLM feature delivery with RAG + LLM integration)

OtherTextText Generation

Built production LLM features by integrating OpenAI and Claude with RAG pipelines for context-aware generation. Implemented semantic retrieval workflows using vector databases to improve relevance and downstream generation quality. Supported AI-driven automation by designing prompts and generation logic for deployed services. • Integrated OpenAI and Claude for LLM responses • Implemented RAG with vector databases for semantic retrieval • Improved context-aware generation relevance (reported 70% relevance boost) • Deployed and operated LLM features in production microservices

2023 - 2025

Full Stack Engineer at Rebilly (platform engineering supporting AI-ready workflows)

OtherTextPrompt + Response Writing (SFT)

Delivered backend services and system APIs supporting AI-ready workflows, including authentication and modular service architecture for application features. While specific model training or annotation is not explicitly stated, the work involved building the infrastructure that would enable AI-driven applications to operate with consistent data and access controls. Contributed to iterative improvements through testing and Agile delivery practices. • Designed scalable REST + GraphQL APIs for AI-ready application backends • Implemented JWT/session/RBAC security to support controlled AI workflows • Built automated testing pipelines to ensure reliable application behavior • Deployed on AWS/GCP with high uptime for production systems

2022 - 2023

Education

Work History