Jia-huei Tan
Sr. AI ML Engineer In 3D Perception LLM at Embedded LLM
Kuala Lumpur, Malaysia
Summary
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Rockstar🎓
Top SchoolJia-huei Tan is a Senior AI/ML Engineer specializing in 3D perception and LLM systems with a PhD in Artificial Intelligence and a decade of industry and research experience based in Kuala Lumpur. Currently leading work at Embedded LLM on city-scale point cloud and imagery mapping, she blends deep learning for 2D/3D computer vision with practical LLM algorithm engineering and DevOps/DocOps practices. Her background includes academic exchanges in Europe on face recognition and mentoring postgraduate students, reflecting a strong bridge between research and real-world application. Known for quickly acquiring new technical skills—evident since an Intel internship where she learned Perl and delivered multiple automation scripts—she brings both rigorous research instincts and hands-on production delivery to complex perception problems.
10 years of coding experience
High School, SPM - 9A+ 1A, High School, SPM - 9A+ 1A at SMK Dato Mohd Said, NilaiHigh School, Science, CGPA - 4.0, High School, Science, CGPA - 4.0 at MOE Matriculation ProgrammeDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Malaya
English, Chinese, Malay
Github Skills (103)
fastapi10
json-schema10
python10
matconvnet10
stylegan10
swagger10
retrieval-augmented-generation10
serverless10
pydantic10
openapi10
tensorflow-model10
chatgpt10
async10
spreadsheet10
swagger-ui10
Programming languages (6)
Github contributions (5)
EmbeddedLLM/JamAIBase
May 2024 - May 2026
The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.
Contributions:5 releases, 2 reviews, 29 PRs in 2 years
aillmagentsai-agents-frameworkbaas
jiahuei/COMIC-Compact-Image-Captioning-with-Attention
May 2019 - Jun 2021
COMIC: This is the code repo of our TMM2019 work titled "COMIC: Towards a Compact Image Captioning Model with Attention".
Contributions:5 releases, 74 commits, 71 pushes in 2 years 1 month
tensorflowimage-captioningvisual-attentionscstself-critical-sequence-training
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