Summary
Sakares Saengkaew is a Language Engineer with 12 years of experience building production ML systems, specializing in speech recognition, Thai NLP, and computer vision. Currently at Apple, he focuses on inference pipeline design and deploying robust speech models, having previously driven Thai NLP and speech adoption as a technology evangelist at SCG. His background spans applied research and product engineering—from rapid POCs in credit scoring and agriculture to medical imaging classification and large-scale text analytics—bridging research rigor with pragmatic delivery. Comfortable across software engineering, data science, and ML ops, he has a track record of turning domain-specific algorithms into scalable solutions for industry partners. Based in Singapore, he combines dual master’s training in communications networks and software engineering with hands-on experience in full-stack and embedded AI systems.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering, Computer Engineering, Bachelor of Engineering, Computer Engineering at Kasetsart University
Master of Engineering (M.Eng.), Computer Science with Specialization in Software Engineering, Master of Engineering (M.Eng.), Computer Science with Specialization in Software Engineering at Asian Institute of Technology
Master of Science (M.Sc.), Communication Networks and Services, Master of Science (M.Sc.), Communication Networks and Services at Télécom SudParis
English, Thai, French