Summary
Mohanad Abu Nayla is a Senior AI Platform Engineer based in Kuala Lumpur with 9 years of hands-on experience building and operating large-scale AI and distributed systems. He specializes in Kubernetes-native GPU infrastructure, LLM Ops, and low-latency inference pipelines for regulated, high-reliability environments where auditability and hallucination control matter. Across roles he’s repeatedly cut latency and costs—delivering autoscaled GPU clusters, optimized schedulers, and production LLM pipelines for OCR and document processing. Equally comfortable in Python, Go, TypeScript and C#, he brings a rare mix of deep computer-vision model work and pragmatic MLOps that reduced a CV training epoch from hundreds of hours to minutes. Known inside organizations as the “technical problem router,” he’s the go-to engineer for high-impact AI deployments and scaling strategy.
9 years of coding experience
10 years of employment as a software developer
Python Programmer Computer Software Engineering, Python Programmer Computer Software Engineering at DataCamp
Deep Learning Specialization Deep Learning, Deep Learning Specialization Deep Learning at Coursera/ DeepLearning.ai
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Al-Mansour University College
Data Scientist with Python - Data Camp Data Sciense Data Analysis Machine Learning Deep Learning Data Wrangilling and Munging., Data Scientist with Python - Data Camp Data Sciense Data Analysis Machine Learning Deep Learning Data Wrangilling and Munging. at Data Scientist
Data Analyst with Python - DataCamp Data Analysis Wrangling and Munging, Data Analyst with Python - DataCamp Data Analysis Wrangling and Munging at Data Analyst with Python
Master of Science (M.Sc.) Computer Software Engineering, Master of Science (M.Sc.) Computer Software Engineering at University of Staffordshire
English, Arabic