Description

I’m a Backend & AI Engineer at Oracle, focused on building production-grade backend systems, AI-powered applications, automation workflows, APIs, and developer tools.

My background combines strong software engineering fundamentals with hands-on work in Java, Python, JavaScript/TypeScript, SQL, CI/CD, runtime systems, and complex debugging in enterprise engineering environments. At Oracle, I work on backend and runtime infrastructure connected to Oracle Database, including Java/Truffle-based systems, JavaScript APIs, PL/SQL integration, build automation, and developer productivity tooling.

I’m now focused on applying this engineering foundation to Generative AI: LLM applications, RAG pipelines, agentic workflows, AI automation, tool/API integrations, and production-ready AI systems. I’m especially interested in roles where AI is treated as real software infrastructure: evaluated, observable, maintainable, secure, and integrated into business workflows.

Core strengths:

Java, Python, JavaScript/TypeScript, Backend Engineering, APIs, LLM Applications, RAG, Agentic AI, Workflow Automation, CI/CD, Developer Tools, Runtime Systems, SQL, Debugging, System Design.

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Arabe
Bilingue ou natif

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

Oracle Labs
Member of Technical Staff
septembre 2024 - Aujourd'hui (1 an et 11 mois)
Agentic Process Automation: Designed and deployed LLM-powered autonomous agents capable of executing complex workflows by interacting with legacy systems, leveraging tool-calling and structured reasoning capable of navigating legacy software UIs to execute tasks just like a human operator.
Built agentic AI workflows integrating LLMs with external tools (APIs, databases, filesystems) using Model Context Protocol (MCP) for secure, real-time data access.
Implemented a RAG-like pipeline combining document parsing, semantic retrieval, and LLM reasoning for high-accuracy information extraction.
Designed and implemented MLE Web APIs using Truffle, Java, and C,bringing web-standard capabilities into the Oracle Database runtime environment.
Worked on GraalOS-in-Database integration, contributing to runtime and database capabilities supporting Python-oriented execution environments.
Built maintainable backend/system-level components by translating complex runtime and database requirements into clear technical designs.
Collaborated with engineering teams in an Agile environment to deliver reliable features, review technical decisions, and support productiongrade software quality.
Python AI Agent AI Automation artificial intelligence LLM
Oracle Labs
Junior Member of Technical Staff
août 2023 - août 2024 (1 an)
Managed and enhanced MLE's CI infrastructure using Jenkins, Gradle, and OCI, integrating with Prometheus and ELK Stack for monitoring and observability. Supported developers by troubleshooting and assisting with debugging and deployment workflows. Created Ansible playbooks to migrate development and CI machines of the MLE team to new instances. Integrate the MLE project with other Oracle Labs cloud technology like ADM and generally improve the app dev user story. Mentored a summer intern for 3 months, guiding MLE enhancements, and interviewed candidates for internship programs.
Oracle Labs
Research Assistant
février 2023 - juillet 2023 (5 mois)
Create demos for use cases of MLE and Oracle APEX.
Created Live Labs for MLE and wrote a Medium blog : Building an end-to-end Bookstore App in APEX using JavaScript/MLE and GraphQL
Developed a JavaScript module testing tool for MLE, streamlining QA processes.