Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am Sulaiman Waliu Thionville, an AI engineer with 4+ years of building and deploying production AI systems, RAG pipelines, document intelligence, agentic workflows, and cloud infrastructure. I own problems end-to-end—from scoping with business stakeholders through build, deployment, and handoff to real users. I’m comfortable presenting architecture trade-offs to non-technical audiences and switching between engineering execution and consulting-style problem framing. I thrive on turning business requirements into deployable AI solutions, leading enterprise-wide AI adoption, and collaborating with technical teams and end users to deliver measurable impact across Luxembourg.…I am Sulaiman Waliu Thionville, an AI engineer with 4+ years of building and deploying production AI systems, RAG pipelines, document intelligence, agentic workflows, and cloud infrastructure. I own problems end-to-end—from scoping with business stakeholders through build, deployment, and handoff to real users. I’m comfortable presenting architecture trade-offs to non-technical audiences and switching between engineering execution and consulting-style problem framing. I thrive on turning business requirements into deployable AI solutions, leading enterprise-wide AI adoption, and collaborating with technical teams and end users to deliver measurable impact across Luxembourg.

Sulaiman Waliu Thionville

AI Engineer, Cloud Developer, Data Scientist, +2





I am Sulaiman Waliu Thionville, an AI engineer with 4+ years of building and deploying production AI systems, RAG pipelines, document intelligence, agentic workflows, and cloud infrastructure. I own problems end-to-end—from scoping with business stakeholders through build, deployment, and handoff to real users. I’m comfortable presenting architecture trade-offs to non-technical audiences and switching between engineering execution and consulting-style problem framing. I thrive on turning business requirements into deployable AI solutions, leading enterprise-wide AI adoption, and collaborating with technical teams and end users to deliver measurable impact across Luxembourg.…I am Sulaiman Waliu Thionville, an AI engineer with 4+ years of building and deploying production AI systems, RAG pipelines, document intelligence, agentic workflows, and cloud infrastructure. I own problems end-to-end—from scoping with business stakeholders through build, deployment, and handoff to real users. I’m comfortable presenting architecture trade-offs to non-technical audiences and switching between engineering execution and consulting-style problem framing. I thrive on turning business requirements into deployable AI solutions, leading enterprise-wide AI adoption, and collaborating with technical teams and end users to deliver measurable impact across Luxembourg.

Available to hire

I am Sulaiman Waliu Thionville, an AI engineer with 4+ years of building and deploying production AI systems, RAG pipelines, document intelligence, agentic workflows, and cloud infrastructure. I own problems end-to-end—from scoping with business stakeholders through build, deployment, and handoff to real users. I’m comfortable presenting architecture trade-offs to non-technical audiences and switching between engineering execution and consulting-style problem framing.

I thrive on turning business requirements into deployable AI solutions, leading enterprise-wide AI adoption, and collaborating with technical teams and end users to deliver measurable impact across Luxembourg.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI & Automation Engineer at Foyer Group (WEALINS) — Luxembourg

January 1, 2026 - Present

Owning the Claim Categorization initiative: trained an OCR model and applied Named Entity Recognition (NER) to extract and classify fields from incoming insurance claim documents, reducing manual triage time for operations staff. Designing AI-driven automation solutions to remove manual steps from internal workflows; scoping each initiative through direct interviews with business owners before writing a line of code. Translating business requirements into deployable AI solutions in close collaboration with technical teams and end users across Luxembourg. Led Microsoft Copilot rollout training and drove enterprise-wide AI adoption across WEALINS business units.

AI & Cloud Engineer at RTL Group — Luxembourg

March 1, 2025 - December 1, 2025

Delivered the Finance IT Agent end-to-end: production RAG system (Azure OpenAI, Azure AI Search, LangChain) for policy lookup, knowledge retrieval, and finance workflow automation — adopted by 20+ internal users within weeks of launch. Built the DWS Colleague Copilot via Power Automate and Microsoft Graph, automating approval flows, notifications, and data synchronisation across SharePoint and Microsoft 365. Designed ETL pipelines ingesting SharePoint content into Azure Blob Storage via Microsoft Graph API, powering downstream AI knowledge bases. Provisioned and managed cloud AI infrastructure using Terraform IaC and Azure DevOps CI/CD; governed API exposure via Azure API Management and OAuth 2.0 / Entra ID. Benchmarked Mistral and open-source LLMs against Azure OpenAI, presenting cost/quality trade-off analysis directly to product owners; recommendation adopted as the cost-optimisation strategy for two follow-on projects.

AI and Cloud Engineer Intern at RTL Group

March 1, 2025 - Present

Designed and implemented AI and cloud-based solutions to enhance operational efficiency and user experience using Azure Open AI, LLMs, and cloud infrastructure. Architected the Finance IT Agent integrating Azure AI Search, RAG, Microsoft Graph API, and Azure Functions with SharePoint Framework for a secure and dynamic user interface. Developed the DWS Colleague Copilot Studio Agent using Power Automate and Graph API to improve team productivity. Contributed to Identity and Access Management, workflow automation, cloud optimization, system testing, and technical documentation to support scalable solutions.

MLOps Engineer at Vosyn AI

November 1, 2024 - August 6, 2025

Developed automated machine learning model pipelines using Python, streamlining deployment processes. Optimized ML models using TensorFlow and PyTorch for efficient deployment in distributed environments.

Machine Learning Intern at Mentoreness

June 1, 2024 - August 6, 2025

Built machine learning models focusing on NLP tasks and data engineering workflows. Designed NLP models emphasizing language understanding using Hugging Face Transformers and custom embeddings tailored to client needs.

MLOps Engineer at Vosyn AI — Remote

March 1, 2024 - November 1, 2024

Built and maintained CI/CD pipelines (Docker, GitHub Actions) for automated ML and LLM model deployment, reducing manual release steps and cutting deployment cycle time. Managed MLflow model registry across multiple LLM experiments: experiment tracking, version control, and promotion gates from staging to production. Optimised model serving and inference pipelines under production load, reducing latency for real-time speech and language processing workloads.

Data Science and Machine Learning Intern at Edureka Computing Institute

April 1, 2023 - August 6, 2025

Contributed to data science projects focusing on NLP and machine learning for large datasets. Improved data pipeline performance and optimized models for efficient deployment.

Data Science Consultant at Lapariah Tech — Nigeria

April 1, 2020 - January 1, 2023

Built ML models for fraud detection, anomaly identification, and financial risk scoring across multiple client engagements; delivered findings and recommendations directly to client business teams. Designed ETL pipelines to integrate and process structured financial data from disparate sources for downstream analytics. Built Power BI and Tableau dashboards translating model outputs into KPI dashboards used by non-technical executives for operational decisions.