I'm Muhammad Uzair Tariq, a senior AI/ML engineer with 9+ years of hands-on experience building scalable GenAI systems, LLM applications, and computer vision pipelines across startups and top tech environments including Meta, Clones, and the Dubizzle Group. I’ve led end-to-end product development, designed and deployed cloud-native GPU inference platforms on AWS/GCP/Azure, and built production-grade ML pipelines with a strong focus on reliability and user value. I specialize in GenAI, LLMs, multimodal models, RAG pipelines, diffusion models, MLOps, and distributed data systems. I enjoy turning complex user requirements into practical, scalable AI features by delivering robust back-end services with Python, FastAPI, and containerized deployments, while advancing prompt engineering, model evaluation, observability, and cost optimization for production workloads.

Muhammad Uzair Tariq

I'm Muhammad Uzair Tariq, a senior AI/ML engineer with 9+ years of hands-on experience building scalable GenAI systems, LLM applications, and computer vision pipelines across startups and top tech environments including Meta, Clones, and the Dubizzle Group. I’ve led end-to-end product development, designed and deployed cloud-native GPU inference platforms on AWS/GCP/Azure, and built production-grade ML pipelines with a strong focus on reliability and user value. I specialize in GenAI, LLMs, multimodal models, RAG pipelines, diffusion models, MLOps, and distributed data systems. I enjoy turning complex user requirements into practical, scalable AI features by delivering robust back-end services with Python, FastAPI, and containerized deployments, while advancing prompt engineering, model evaluation, observability, and cost optimization for production workloads.

Available to hire

I’m Muhammad Uzair Tariq, a senior AI/ML engineer with 9+ years of hands-on experience building scalable GenAI systems, LLM applications, and computer vision pipelines across startups and top tech environments including Meta, Clones, and the Dubizzle Group. I’ve led end-to-end product development, designed and deployed cloud-native GPU inference platforms on AWS/GCP/Azure, and built production-grade ML pipelines with a strong focus on reliability and user value.

I specialize in GenAI, LLMs, multimodal models, RAG pipelines, diffusion models, MLOps, and distributed data systems. I enjoy turning complex user requirements into practical, scalable AI features by delivering robust back-end services with Python, FastAPI, and containerized deployments, while advancing prompt engineering, model evaluation, observability, and cost optimization for production workloads.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

AI/ML Engineer at Clones
February 1, 2024 - Present
Led end-to-end product development and early engineering strategy; architected computer vision and generative AI pipelines; designed and deployed RAG systems and semantic chunking; fine-tuned LLMs and multimodal models using LoRA/QLoRA/PEFT; built cloud-native inference infrastructure on AWS/GCP; implemented CI/CD and REST APIs; collaborated with design/product/marketing; mentored junior contributors.
AI & Machine Learning Developer at Dubizzle Group
August 1, 2020 - January 1, 2024
Built ME's first AI-powered property search assistant via LLMs, vector search, and custom ML algorithms; developed ML pipelines for personalization, semantic search, and content generation; deployed production-grade MLOps and real-time inference endpoints; collaborated with Android/backend teams.
Data Engineer at Stryker
August 1, 2019 - July 1, 2020
Built automated CI/CD pipelines using Jenkins, Docker; designed and optimized ETL workflows; developed dashboards for lab performance; automated data ingestion and validation; ensured compliance in regulated medical device environments.
Data Analytics Engineer – Global PTI at Ford Motor Company
November 1, 2017 - August 1, 2018
Processed vehicle CAN data; designed analytics pipelines; built interactive BI dashboards (QlikSense, Power BI, Tableau, Sisense, Alteryx); used Hadoop ecosystem tools for scalable data processing; collaborated with cross-functional teams to translate telemetry into actionable insights.

Education

Masters in Computer Science at University of Central Florida
January 1, 2015 - January 1, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Media & Entertainment, Professional Services, Other