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I'm a results-driven AI/ML engineer specializing in computer vision, NLP, and generative AI. I design and deploy deep learning models (like U-Net and CNNs) and architect RAG pipelines with vector databases to build scalable AI solutions. I excel at reducing inference latency, building intuitive visualization interfaces for model deployment, and delivering end-to-end solutions from data processing to frontend interfaces. I enjoy collaborating with cross-functional teams to translate business needs into practical AI features.…I'm a results-driven AI/ML engineer specializing in computer vision, NLP, and generative AI. I design and deploy deep learning models (like U-Net and CNNs) and architect RAG pipelines with vector databases to build scalable AI solutions. I excel at reducing inference latency, building intuitive visualization interfaces for model deployment, and delivering end-to-end solutions from data processing to frontend interfaces. I enjoy collaborating with cross-functional teams to translate business needs into practical AI features.

Abdullah Hejaz

AI Engineer, Data Scientist, Web Developer, +5

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I'm a results-driven AI/ML engineer specializing in computer vision, NLP, and generative AI. I design and deploy deep learning models (like U-Net and CNNs) and architect RAG pipelines with vector databases to build scalable AI solutions. I excel at reducing inference latency, building intuitive visualization interfaces for model deployment, and delivering end-to-end solutions from data processing to frontend interfaces. I enjoy collaborating with cross-functional teams to translate business needs into practical AI features.…I'm a results-driven AI/ML engineer specializing in computer vision, NLP, and generative AI. I design and deploy deep learning models (like U-Net and CNNs) and architect RAG pipelines with vector databases to build scalable AI solutions. I excel at reducing inference latency, building intuitive visualization interfaces for model deployment, and delivering end-to-end solutions from data processing to frontend interfaces. I enjoy collaborating with cross-functional teams to translate business needs into practical AI features.

Available to hire

I’m a results-driven AI/ML engineer specializing in computer vision, NLP, and generative AI. I design and deploy deep learning models (like U-Net and CNNs) and architect RAG pipelines with vector databases to build scalable AI solutions.

I excel at reducing inference latency, building intuitive visualization interfaces for model deployment, and delivering end-to-end solutions from data processing to frontend interfaces. I enjoy collaborating with cross-functional teams to translate business needs into practical AI features.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

AI Research Intern at National Center of Artificial Intelligence (NCAI)

September 1, 2025 - October 1, 2025

Developed and optimized Retrieval-Augmented Generation (RAG) pipelines to process knowledge bases with 50,000+ documents; implemented efficient vector search using ChromaDB and Pinecone; created data scraping and preprocessing scripts with Crawl4AI; conducted embedding model performance testing to optimize latency and precision.

AI Chatbot & Full Stack Developer Intern at AztroSys (PVT) LTD

January 1, 2026 - Present

Developing AI-powered chatbots and conversational agents, integrating ML models into full-stack web architectures, and collaborating to automate business workflows.

AI & Backend Engineer Intern at National Center of Artificial Intelligence (NCAI)

September 1, 2025 - October 1, 2025

Architected RAG pipelines for large-scale knowledge bases, integrated ChromaDB vector stores, and developed ETL scripts to process unstructured external data.