About Rahali
AI Software Developer with a PhD in Computer Science, specializing in LLM-based solutions, multi-agent
systems, and cloud-native ML architectures. Experience in ulding scalable AI systems for enterprise
applications. Background in telecom network optimization and teaching experience in cloud technologies.
Arabic
Native or bilingual
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- ArrowSphere CloudAI Software DeveloperTECHSeptember 2024 - Today (1 year and 10 months)Paris, FranceSenior AI Engineer / LLM Solutions Architect
- Developed LLM-powered conversational AI solutions for a cloud marketplace platform, enabling intelligent solution discovery, sales assistance, and deployment guidance.
- Designed AI architecture patterns and best practices for enterprise LLM applications, including agent orchestration, RAG pipelines, evaluation frameworks, and scalable system design.
- Partnered with sales, product, and marketing teams to translate business requirements into technical solutions and product features.
- Built a multi-agent chatbot architecture that reduced token consumption by30%while increasing response accuracy, modularity, and maintainability.
- Developed an automated AI evaluation and testing framework for quality assurance, regression testing, and behavioral drift detection.
- Built real-time voice agents using Speech-to-Text (STT), Text-to-Speech (TTS), and OpenAI Realtime API technologies for natural voice interactions.
- Migrated chatbot services from REST-based AWS Lambda functions to persistent WebSocket services on EC2, reducing response latency by40%and improving user experience.
Technologies:Python, LLMs, Azure OpenAI, RAG, MCP (Model Context Protocol), Multi-Agent Systems, STT/TTS, OpenAI Realtime API, OpenSearch, AWS (Lambda, EC2, S3, CloudFront, API Gateway), AI Architecture - Sup de Vinci SchoolIntervening TeacherEDUCATION AND E-LEARNINGJanuary 2023 - June 2025 (2 years and 5 months)Rennes, FranceInstructor – Kubernetes & Machine Learning
- Delivered 35+ hours of lectures and hands-on sessions on Kubernetes and Machine Learning for students and early-career engineers.
- Designed and structured course materials on Kubernetes, covering container orchestration, deployments, scaling, and cloud-native architecture principles.
- Taught Machine Learning fundamentals, including supervised and unsupervised learning, model evaluation techniques, and practical implementation using real-world datasets.
- Focused on bridging theory and practice through interactive exercises, labs, and applied projects to strengthen technical understanding and problem-solving skills.
- Huawei Technologies IrelandMachine Learning and MLOps EngineerTELECOMMUNICATIONSMarch 2022 - September 2024 (2 years and 6 months)Dublin, IrelandAI/ML Engineer – Autonomous 5G Networks
- Developed AI/ML solutions for autonomous 5G network management, including LLM-based incident detection, reinforcement learning–driven network optimization, and cloud-native MLOps infrastructure for large-scale telecom systems.
- Fine-tuned and evaluated large language models (LLaMA, Falcon) using PEFT techniques to improve accuracy in 5G incident detection and automated resolution workflows.
- Designed and implemented multi-agent systems using AutoGen, leveraging advanced prompting strategies such as chain-of-thought reasoning, ReAct, and RAG for complex telecom operations.
- Built reinforcement learning models to optimize 5G network configurations, balancing key performance indicators including coverage, throughput, latency, and energy efficiency.
- Introduced MLOps practices by developing Kubernetes Custom Resource Definitions (CRDs) and controllers using Kopf for cloud-native machine learning deployment and lifecycle management.
- Implemented GitLab CI/CD pipelines for containerized ML systems, enabling automated Docker builds, Kubernetes deployments, and Kafka-based data integration workflows.
Technologies:Python, Machine Learning, Reinforcement Learning, LLMs, RAG, PEFT, AutoGen, LangChain, Kopf, Docker, Kubernetes, GitLab CI/CD, Kafka, PostgreSQL
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Education
- Doctor of Philosophy - PhD, Computer ScienceUniversité de Rennes I2020Doctor of Philosophy - PhD, Computer Science
- Engineer's Degree, Telecommunications Engineeringsup'com2017Engineer's Degree, Telecommunications Engineering