Kingsley Eng
Hello! I’m Kingsley Eng, based in Hamilton, New Zealand.
About
Hello! I’m Kingsley Eng, based in Hamilton, New Zealand. I recently completed a Master of Science in Artificial Intelligence at the University of Waikato and am actively building end-to-end AI pipelines with a focus on real-world impact. I’m friendly, motivated, and organised, and I enjoy collaborating across disciplines to deliver robust software and AI solutions.
I currently work as an AI Engineer and Full-Stack Developer, and formerly worked as an IT Engineer. I automate and build CAD/workflow integrations, TTS, and production-ready APIs, with a passion for language technologies and data-driven decision making. I’m a fast learner who thrives under tight deadlines and enjoys sharing knowledge through training and public speaking.
- 4 years' experience
- Joined October 2025
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Education
- Media & Entertainment
- Professional Services
- Other
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Work experience· 5 roles
Continued development of the Waikato–Maniapoto Māori TTS as part of a Google-funded project. Designed and deployed a production-ready API to enable external integrations and programmatic access. Optimised inference speed and reliability for real-world usage. Built a standalone web platform (beyond Hugging Face) with improved UX and accessibility. Authored extension guidelines for dialectal variation and Māori–English code-switching (tag schema, phonological notes, and data standards).
Built C# and Python programs for automation of routine tasks, tailored to staff feedback. Managed hardware/software setups. Triaged L1/L2 incidents; reduced downtime. Created and maintained system images/software masters. Led Die Designer training sessions.
Build .NET (C#) and Python internal applications and automation tools for CAD and Microsoft workflows (SolidWorks/Excel via COM interop). Build and maintain frontend stack for internal UIs and the public site. Routinely diagnose and resolve problems arising from workplace changes. OS/hardware upgrades and ensured backward compatibility for legacy software. Investigating utilization of deep learning for die-design automation.
Education
Certifications and awards
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