Quissuiven Tai

AI Scientist LLM & AI Agent at Hytech

Singapore
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Summary

👤
Senior
🎓
Top School
Quissuiven Tai is an AI Scientist and LLM/agent specialist with 8 years of experience designing and shipping end-to-end ML systems, from multi-agent production assistants to resume search and OCR for identity documents. He combines a strong engineering toolkit (Python, PyTorch, LangChain, AWS, Neo4j, Qdrant) with pragmatic MLOps practices—Terraform, Prefect, MLflow and CI/CD—to move models into reliable, cost-efficient deployments. At Hytech he engineered a ChatGPT-like multi-session architecture and evaluation framework that boosted synthesis quality from 56% to 87% while cutting embedding costs through large-scale retrieval experiments. His background spans product-facing moderation and search systems at Gojek and Beyondsoft, where measurable gains included a 94.3% mAP@10 for resume ranking and halving manual moderation workload. He holds an MS in Computer Science (Machine Learning) from Georgia Tech and uniquely blends business-domain insight with deep technical execution—often architecting evaluation and monitoring tooling alongside models to ensure measurable impact.
code8 years of coding experience
job5 years of employment as a software developer
bookBachelor of Engineering (B.Eng.) Computer Science, Bachelor of Engineering (B.Eng.) Computer Science at Singapore University of Technology and Design (SUTD)
bookMaster of Science - MS Computer Science (Machine Learning), Master of Science - MS Computer Science (Machine Learning) at Georgia Institute of Technology
bookBachelor of Business Management, Bachelor of Business Management at Singapore Management University
bookDunman High School
languagesEnglish, Chinese
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Github Skills (16)

machine-learning-models9
python7
machine-learning7
lora6
data-science6
web-application5
webscraping5
aws5
llama4
fine-tuning4
llm4
data-analysis3
mistral3
langchain3
generative-ai3

Programming languages (3)

CSSJupyter NotebookPython

Github contributions (5)

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quissuiven/kg-construction

Apr 2023 - Apr 2023

automatic knowledge graph construction from unstructured educational text
Contributions:12 PRs, 16 pushes, 3 branches in 1 day
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Contributions:1 PR, 3 pushes, 14 branches in 10 days
deploymentmachine-learningexample-repoproductionmachine-learning-models
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