MOHAMMAD QATAADAH ZAKIR
AI Engineer specializing in production-ready AI applications, LLM systems, retrieval-augmented generation (RAG), and scalable backend infrastructure.
About
AI Engineer specializing in production-ready AI applications, LLM systems, retrieval-augmented generation (RAG), and scalable backend infrastructure. Experienced designing and deploying AI applications using Python, FastAPI, Docker, AWS, and vector databases with a focus on reliable, high-performance deployment.
Open to AI Engineering opportunities with accredited New Zealand employers and relocation. Seeking roles with visa sponsorship under the Accredited Employer Work Visa pathway.
- 4 years' experience
- Joined October 2025
Industry experience
- Software & Internet
- Media & Entertainment
- Education
- Professional Services
- Other
- Computers & Electronics
Work experience
Designed and delivered production-ready LLM pipelines and automated infrastructure for international clients. Built AI-powered applications using Python, TensorFlow/PyTorch, and Supabase, implementing LLM integrations, embeddings, vector search, and secure API endpoints to reduce inference latency (~35%). Developed AI-driven automation systems for data extraction and workflow orchestration using LLMs, web scraping, and scheduling/queues with REST APIs and cloud functions to reduce manual processing time (~50%). Architected and optimized scalable end-to-end AI pipelines integrating preprocessing, embedding generation, vector database indexing (FAISS/pgvector), and FastAPI serving layers, improving retrieval accuracy (~25%) and throughput (~30%) under concurrent workloads.
Built an AI-powered debugger MVP that detects errors, suggests context-aware fixes, visualizes code execution, and supports multiple languages. Debugging is carried out via llama-cpp inferencing to a fine-tuned Mistral-7B model. Tech stack included React, Python, WebSocket, FastAPI, and JSON.
Provided remote sales and technical support for Apple products; contributed to revenue generation and customer satisfaction; promoted to Technical Support Specialist within two months.
Education
Certifications and awards· 5
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