Lionel Tatkeu

Senior AI Engineer at Ulife

Old Toronto, Ontario, Canada
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Summary

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Senior
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Top School
Lionel Tatkeu is a Senior AI Engineer based in Toronto with 8+ years building production-grade AI systems, from agentic RAG infrastructures and LLM pipelines to full-stack applications. He architects enterprise AI solutions that combine LLMs, vector databases, and orchestration layers, and has delivered 20+ projects across the UK, France, Mexico, Canada, and Africa while working closely with stakeholders to drive adoption. Technically fluent across Python, FastAPI, Node.js, TypeScript, React/Next.js, LangChain, LangGraph, and LLM fine-tuning, he’s driven measurable impact such as an 83% latency reduction in pipelines and 60% faster procurement cycles. Lionel founded AgentBridge, an open-source framework to make legacy systems AI-ready without rewrites, and co-founded Kawlo, an edtech platform that scaled to 200K+ users. He combines product ownership and hands-on engineering—having led data platform architecture and major refactors—to translate business needs into scalable, maintainable AI products. Constantly curious, he bridges academic training in data science with pragmatic deployment experience to help organizations move from prototypes to mission-critical AI.
code8 years of coding experience
job6 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Paderborn University
bookMaster of Science - MS, Data Analytics, Master of Science - MS, Data Analytics at Stiftung Universität Hildesheim
bookLicence , Informatique, Licence , Informatique at Universite de yaounde 1
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Github Skills (44)

directive10
nodejs-application9
constraint9
expressjs8
parser8
php8
laravel8
validation8
nodejs8
middleware7
esbuild7
validate7
graphql6
react6
designer6

Programming languages (5)

TypeScriptJavaJavaScriptPHPPython

Github contributions (5)

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A bunch of best practices and structured code for maintenable and clean nodejs application
Contributions:15 commits, 9 PRs, 10 pushes in 4 years 2 months
reactstructuredjestjavascriptexpress
ltphen/favel

Aug 2023 - Nov 2023

The vision of this project is to explore the possibility to train a supervised machine learning algorithm based on the results of several fact validation approaches.
Contributions:12 PRs, 49 pushes, 3 branches in 3 months
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