Aimad B AI Engin nI
I’m an AI engineer based in Paris, focused on building production-grade AI systems—especially around LLM automation, RAG, and LLM evaluation.
About
I’m an AI engineer based in Paris, focused on building production-grade AI systems—especially around LLM automation, RAG, and LLM evaluation. I own end-to-end pipelines, from problem framing and solution architecture through implementation, deployment, and observability, with a strong emphasis on deterministic behavior, quality, latency, and cost.
In practice, I help teams industrialize AI by automating document-centric workflows, integrating tools and agents, and setting up reliable evaluation/monitoring in production. I’ve also built and led AI products from prototype to adoption—running LLM-as-a-judge evaluations, creating robust monitoring foundations, and co-founding/leading ventures where our code and product were used by real customers across Europe.
- 5 years' experience
- Joined June 2026
Skills· 21
Languages
- FrenchFluent
- EnglishFluent
- Spanish; CastilianBeginner
Industry experience
- Software & Internet
- Professional Services
- Computers & Electronics
- Media & Entertainment
- Other
- Financial Services
- Healthcare
- Gaming
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Work experience· 8 roles
Co-founded and led a SaaS for product monitoring/LLM-related monitoring. Owned a FastAPI/PostgreSQL-based architecture with RBAC, audit logging, scraping, and AWS-based observability. Managed payment/subscription flows (Stripe) and led infrastructure operations and delivery.
Built and deployed end-to-end AI systems and proprietary prompt/modality solutions for quality, latency, and cost improvements. Implemented deterministic workflows, LLM-as-a-judge evaluation, failure tracing/auditability, and unified observability. Led asynchronous batch execution and benchmarking while operating on AWS and integrating tools for production reliability.
Help organizations take generative AI from prototype to production with agentic AI, RAG, LLM orchestration, evaluation pipelines, and LLM cost control. Deliver automated reverse-documentation of legacy codebases (Mermaid/UML/dependency maps) and generate regression test suites before changes. Build and integrate agent workflows (LangChain/LangGraph), LLM evaluation (LLM-as-a-judge/metrics), and observability tooling; also support containerized deployments and microservices integration using existing systems.
Education
Certifications and awards· 9
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