About Maher
Ingénieur IA avec 14+ ans d'expérience spécialisé en fine-tuning LLM à grande échelle et agents RAG en production, au service de 1 600+ utilisateurs enterprise.
Fine-tuning LLM : entraînement distribué sur 16 H200 GPUs avec FSDP, LoRA et HF Trainer — réduction des coûts de 3x vs. full fine-tuning. Inférence haute performance avec vLLM (100 tokens/s, 99% uptime).
RAG & Agents IA : pipelines multi-agents avec LangGraph et LangChain, APIs OpenAI/Anthropic, semantic search Qdrant — déployés en production enterprise pour 1 600+ utilisateurs.
MLOps end-to-end : Kubeflow, MLflow, Kubernetes (CKA certifié), CI/CD sur AWS. Time-to-production réduit de 50%.
Chez Dassault Systèmes Outscale : plateforme IA/ML complète de l'entraînement distribué (FSDP, PyTorch) à l'inférence en production. Expertise Big Data (Bouygues Telecom, Kafka/Spark) et réseaux (Qosmos, C). Fondateur de thejobbooster.cloud.
English
Native or bilingual
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- Dassault Systèmes OutscaleAI ArchitectSOFTWARE PUBLISHINGDecember 2020 - Today (5 years and 6 months)Paris, France1. Machine Learning / AI Platform – Agentic AI• • Architected LLM fine-tuning to 16 H200 GPUs using LoRA and FSDP (Fully Sharded Data Parallel), cutting training cost 3x vs. full fine-tuning• • Architected production-grade LLM inference with vLLM on GPU clusters, serving 1,600 users at 99% uptime, 100 tokens/s throughput, and 3x perf improvement• • Mentored 7 ML/AI engineers to production-deploy models; established MLOps practices for model lifecycle management, monitoring, and reproducibility, re ducing time-to-production by 50%• • Led AI platform architecture, integrating open-source LLMs on GDPR-compliant sovereign cloud• • Designed a multi-agent RAG pipeline with LangGraph and LangChain, pro cessing 10,000+ enterprise documentsPYTHON VLLM LANGGRAPH LANGCHAIN KUBERNETES MLFLOW RAG FSDP LORA PyTorch, LangFuse, Kubeflow, Qdrant, OpenTelemetry, Prometheus, MCP2. Accounting / Billing Platform: 7 platforms, multi-region/AZ• • Owned architecture and roadmap for 7 multi-region billing platforms (SLA, SLO, PRA) achieving 99.99% availability• • Implemented automated platform provisioning with Terraform and Ansible, reducing environment setup time from days to under 2 hours• • Built event-driven pipelines for real-time billing data processing, eliminating billing delays and reducing revenue reconciliation errors• • Cut billing software upgrade cycles from 1 week to 2 days with CI/CDTERRAFORM AWS KUBERNETES EKS GITLAB CI DOCKER EKS (Elastic Kuber netes
- Bouygues TelecomSenior Data & Platform EngineerTELECOMMUNICATIONSJanuary 2015 - December 2020 (5 years and 11 months)Paris, France1. Big Data / Data Lake Platform – National Fixed-Network Monitoring• • Designed and implemented data architecture for 9 device types, 3 million net work access devices, delivered a national supervision map enabling anomaly detection at scale• • Built ETL workflows processing 180 GB/day of telemetry data from 3 million network devices, feeding the national supervision map in real time• • Drove cross-functional deployment, delivering integrations 2 weeks ahead of schedule for a national-scale rollout to 3 million devices KAFKA
- QosmosSoftware EngineerTECHSeptember 2011 - December 2014 (3 years and 3 months)Paris, France1. as• • Achieved 10 Gbit/s throughput by developing and virtualizing the Deep Packet Inspection (DPI) engine for horizontal scalability• • Implemented and optimized network protocol parsers (RFC-compliant), con tributing to processing with sub-millisecond per-packet latency
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Education
- Certified Kubernetes Administrator (CKA)Linux Foundation2024Certified Kubernetes Administrator (CKA)
- Master's Degree in Innovation ManagementENSAM2013Master's Degree in Innovation Management
Certifications
- Certified Kubernetes Administrator (CKA)Linux Foundation2024