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Raphaël Tankeu

@raphaltankeu

I build production-ready data science and machine learning solutions, especially fraud detection, predictive modeling, and NLP.

Cameroon
Message

What I'm looking for

I’m looking for a team where I can build production-grade predictive and AI systems—especially fraud/risk modeling and LLM+RAG solutions—with strong evaluation, monitoring, and cross-functional delivery that turns data into decisions.

I’m a Data Scientist and Machine Learning Engineer focused on building predictive analytics, fraud detection, NLP, and AI solutions that deliver measurable outcomes. I’ve applied these skills across fintech, healthcare, HR analytics, and retail, spanning model development, risk scoring systems, and customer intelligence.

I’ve built and deployed 8 end-to-end AI applications—from computer vision and NLP to medical imaging and time-series forecasting—each delivered as a working product with a clear user interface. I take projects from problem framing through data sourcing, training, evaluation, and deployment, keeping the full pipeline reliable and auditable with real-world usage in mind.

In my data science work, I’ve developed fraud detection and risk scoring models on high-volume transaction data across multiple markets. I design and deploy risk scoring pipelines that automate flagging of high-risk transactions at scale, and I build customer behavior and transaction pattern analytics tools to support senior stakeholder decisions.

As an AI Engineer, I architect and ship production-ready LLM, RAG, and agentic AI systems for enterprise clients. I integrate vector databases with knowledge-grounded LLM architectures using LangChain and LangGraph, and I build deployment workflows that include evaluation, explainability, and post-launch monitoring to keep solutions dependable.

Experience

Work history, roles, and key accomplishments

Andela logoAN
Current

AI Engineer

Aug 2024 - Present (1 year 11 months)

Architected and shipped production-ready LLM, RAG, and agentic AI systems for enterprise clients. Built intelligent search and document processing with vector databases and knowledge-grounded LLM architectures, contributing to end-to-end deployment, evaluation, explainability, and monitoring.

SP
Current

Independent Data Scientist & AI Engineer

Self-Directed Portfolio

Jan 2023 - Present (3 years 6 months)

Built and deployed 8 end-to-end ML applications, covering business problem definition through data sourcing, preprocessing, model training/evaluation, and deployment with a user interface. Project work spans computer vision, NLP, medical imaging, HR analytics, customer segmentation, and sales forecasting.

Education

Degrees, certifications, and relevant coursework

University of the People logoUP

University of the People

Bachelor of Science, Computer Science

2026 -

Pursuing a Bachelor of Science in Computer Science.

ALX Academy logoAA

ALX Academy

Applied LLMs, Agentic Systems & RAG, AI Engineering

2024 -

Ongoing AI Engineering training focused on Applied LLMs, Agentic Systems, and RAG.

ALX Academy logoAA

ALX Academy

Data Science and Software Engineering, Data Science

2022 - 2024

Completed Data Science and Software Engineering training at ALX Academy.

University of Lagos logoUL

University of Lagos

Bachelor of Arts, French Language

2016 -

Completed a BA in French Language.

Université Grenoble Alpes logoUA

Université Grenoble Alpes

Digital Language Teaching, Language Teaching

Studied Digital Language Teaching.

Université de Liège logoUL

Université de Liège

Teaching French as a Foreign Language (FLE), Language Teaching

Studied Teaching French as a Foreign Language (FLE).

Stanford University logoSU

Stanford University

Data-Driven Healthcare in Precision Medicine, Precision Medicine

Completed coursework related to Data-Driven Healthcare in Precision Medicine, AI Applications in Medicine, and Bioinformatics and Computational Biology.

AA

ALX Academy

Precision Medicine AI Specialization (coursework), AI in Precision Medicine

Completed modules covering Fundamentals of AI and ML in Precision Medicine, Data-Driven Precision Medicine for Diabetes, and related specialization foundations.

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