Freelancer profile translated to English.
Back to original languageAbout Merlin
Cloud & DevSecOps Engineer, specialist in the reliability of production agent systems.
Nearly 10 years designing, securing, and ensuring the reliability of cloud and DevSecOps infrastructure, including 4 years in client environments. Today, I apply this rigor to a crucial business problem: making agent systems and GenAI reliable in production.
Most teams know how to build an agent demo. Almost no one knows how to make it reliable, secure it, and control its cost in production. This is the bridge I build, because I come from infrastructure, not a notebook. I don't sell consulting, I deliver deployed and operable code.
The foundation I've been solidifying for 10 years:
- **Migrations and containerization (CaaS) in client environments**, event-driven microservices (Kafka).
- **Production Kubernetes**: multi-cloud Anthos (GCP + AWS), scalable GKE, AKS, validated by load tests.
- **Governed Foundations**: IaC Terraform, GitOps, DevSecOps pipelines.
- **FinTech GCP**: platform trust +40%, clientele +10%, merchant load -35%.
Your agents and your GenAI, in production:
- **RAG and multi-agents**: event ingestion, memory, semantic search, LangGraph orchestration, human validation. RAG delivered in production on GKE (Vertex AI / Gemini) at a client's site.
- **"Zero Data Retention" AI Proxy**: local anonymization of PII before any external call, to overcome Shadow AI blockage.
- **Controlled Cost**: LLM-agnostic routing and tiering, -85% inference cost; ephemeral L4 GPUs, -90% compute cost.
- **Reliability and Evaluation**: MLOps / LLMOps, quality gates, Langfuse observability.
Recognized Google Cloud DRP Tier 2 Expert (Forward Deployed Engineer profile). IBM Champion 2026, HashiCorp Ambassador 2025.
Stuck POC, runaway GPU costs, or AI adoption hindered by leakage risk: describe your need, and I'll respond with a concrete, proven architecture.
English
Conversational
French
Fluent
Remote only
Primarily works remotely
Experience
- AccentureCustom Software Engineering Specialist, Cloud Solutions & DevSecOps LeadBANKING AND INSURANCEJune 2025 - Today (1 year and 1 month)Moka, MauritiusTeam Lead / Consultant SME Cloud & DevSecOps, FDE Agent Engineer.
- Technology Architect: Design and implementation of scalable cloud-native solutionsaligned with business objectives, not just application needs. Drafting technical architecture documents (DAT) that transform an infrastructure choice from an intuition to a data-driven decision.
- Technical Leadership: Harmonized infrastructure standards, CI/CD, security, and observabilityacross cross-functional teams, which reduced back-and-forth on service level agreements and shortened the resolution time for cross-functional incidents.
- Application Modernization: Scoping cloud adoption and DevSecOps practices,mentoring newcomers, so that delivery velocity is not paid for with security debt.
- AccentureCustom Software Engineering Sr Analyst, Cloud Transformation & Application ModernizationBANKING AND INSURANCEJanuary 2023 - May 2025 (2 years and 4 months)Moka, MauritiusContainerization, DevSecOps, and GitOps for reliability and security posture.
- Transitioning PaaS/legacy applications to Kubernetes (CaaS)with full DevSecOps and GitOps adoption, to deliver zero-downtime deployments and deploy only trusted images (Binary Authorization, image scanning).
- **Multi-cloud microservices (Anthos, GKE + AWS EC2)**: high availability maintained even with a provider failure and vendor lock-in eliminated; service continuity no longer depends on a single cloud.
- **Globally scalable microservices on GKE (Multi-Cluster Gateways, Cloud Deploy)**: global load balancing and service discovery, scaling behavior validated before production deployment rather than discovered during an incident.
- Multi-cloud IaC Governance(Terraform Cloud, Sentinel, Checkov, GitHub Actions): security and compliance issues detected before provisioning, optimized costs, and repeatable deployments.
- AccentureApplication Development Senior Analyst, Cloud Readiness & ModernizationBANKING AND INSURANCEJune 2022 - December 2022 (6 months)Moka, MauritiusReverse engineering and replatforming for cloud capability enablement.
- Migration of legacy platformsto modern microservices (Java, Spring Boot, Kafka) deployed on PaaS, transforming a static base into a cloud-native ready foundation.
- Analysis of existing systems (reverse engineering)to scope a two-phase migration (Lift & Shift then containerization), to de-risk the move rather than rewriting everything at once.
- Observability(Prometheus, Grafana, ELK, Jaeger, OpenTelemetry) and DevSecOps guardrails implemented from this phase onwards, so that modernization detects incidents upstream instead of suffering them in production.
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Education
- Master 1 - Computer Engineering, Big Data & Cloud ComputingENSET mohammedia2025- Systèmes Distribués et Event-Driven : Assurer le découplage et la résilience asynchrone des Systèmes Distribués. - Industrialisation IA (MLOps/LLMOps) : Conception des chaînes d’entraînement (CI, DVC, CML, GPU). - Data et IA Agentique: Coupler le traitement de données avec les RAG Agentic doté d’une mémoire à court/long terme pour orchestrer des outils/sous-agent de manière autonome.
- Bachelor's degree - Computer Software EngineeringIseig2016Software Analysis, Design and Development
Certifications
- Google Cloud Professional Cloud ArchitectGoogle Cloud2024
- Microsoft Certified: Azure Solutions Architect ExpertMicrosoft2024