Ibrar Yunus
Hi, I’m Ibrar Yunus, a Lead Data Scientist and Full-Stack AI Engineer based in the United Kingdom. I architect GenAI platforms, design end-to-end ML workflows, and deliver production-ready AI services for SMEs.
About
Hi, I’m Ibrar Yunus, a Lead Data Scientist and Full-Stack AI Engineer based in the United Kingdom. I architect GenAI platforms, design end-to-end ML workflows, and deliver production-ready AI services for SMEs. My work spans data engineering, feature engineering, model development, MLOps, and API-driven deployment on cloud platforms, with a focus on multi-modal AI, vector databases, and scalable analytics.
Previously at The Hut Group, I led data science initiatives for a high-traffic ecommerce environment, built chatbots grounded in company data, managed data assets, and steered ML projects to millions of users monthly. I’ve been recognized at industry events (THG Ingenuity Future of Commerce 2023) and I enjoy sharing knowledge and mentoring teams. I hold an Erasmus Mundus MSc in Dependable Software Systems and an Erasmus Mundus Joint Masters Scholarship, and I’m also an avid DJ, photographer, and artist.
- 8 years' experience
- Joined March 2026
Skills· 14
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Retail
- Professional Services
- Media & Entertainment
More experts in Manchester, United Kingdom
Work experience
Architected and implemented the complete GenAI platform on GCP, including infrastructure, CI/CD pipelines for ML workflows, containerized deployments (Docker/Kubernetes), automated monitoring, data processing/persistence pipelines, access controls, chatbots, and vector databases, enabling rapid AI-powered solutions for SMEs and deployment of analytics dashboards.
Led end-to-end data science initiatives for health, beauty, and lifestyle ecommerce. Projects included multi-modal fashion recommendations (vision + language) using InstructBLIP and GPT models on Azure; built production ML services, information retrieval via vector databases, chatbot grounding, topic/tag analysis, sentiment analysis, and revenue forecasting. Managed and mentored multiple data scientists; deployed LLM/AI projects with access by millions of users monthly; recognized at THG Ingenuity Future of Commerce 2023.
Education
Certifications and awards
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