AI / ML EngineerData ScientistCredit Risk Consultant

Napat
Seelpipat

From a foundation in modeling, the journey now carries AI impact beyond experimentation. This site is a live demo — the AI chatbot answers questions about me from my personal documents.

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2+Years Credit Risk
2Journal Publications
B.Eng.Industrial Engineering (First Class Honours)
M.Eng.Industrial Engineering (Thesis: Very Good)
Napat Seelpipat

KPMG Thailand

Credit Risk Consultant

Peking University

Teaching Assistant

Chulalongkorn

M.Eng. B.Eng IE (1st Class)

2 Journal Publications

Springer · Fuji Technology Press

About me

Beyond experiments,
toward practical AI implementation.

I hold a Master's and Bachelor's degree in Industrial Engineering from Chulalongkorn University, with two journal publications — on explainable machine learning (Springer) and NLP-based sentiment analysis (Fuji Technology Press).

As a Credit Risk Consultant at KPMG Thailand, I built, deployed, and validated credit scorecards (A/B/C-Score) and Expected Credit Loss models (PD/LGD/EAD) under TFRS 9 and Bank of Thailand standards for banks and financial institutions across retail, SME, and specialized lending portfolios.

I'm moving beyond modeling and documentation to design, build, and deploy end-to-end AI systems — actively building skills in generative AI, LLMs, RAG pipelines, and MLOps through Certificates and hands-on projects.

Experience

2+ Years Credit Risk Consultant

Education

M.Eng · B.Eng (1st Class) Chulalongkorn University

Specialization

Credit Risk Modeling · Explainable AI Generative AI & LLMs · NLP

Languages

Thai · Native English · TOEIC 890

Technical stack

Skills & tools

Technical skills across programming, AI/ML, generative AI, data science, MLOps, and credit risk, shaped by professional work, research, and AI projects.

Programming Languages

PythonSQLRSASJavaScriptHTMLCSS

AI / ML

PyTorchTensorFlowKerasHugging FaceLangChainLangGraphscikit-learnXGBoostNLTK

Generative AI

LLMsTransformersRAGFine-tuningPrompt engineeringAI agentsTokenizationAttention mechanismsBERTGPT

Data Science

Data analyticsFeature engineeringData visualizationMachine algorithmsRisk modelingExplainable AISentiment analysisNLP

Tools & MLOps

DockerKubernetesArgo CDMLflowFastAPIFlaskStreamlitCI/CDGitJupyterPowerBIPrometheusGrafana

Domain

Credit scoring (A/B/C scorecards)Expected credit loss (ECL)PD / LGD / EAD modelingTFRS 9Model validationModel calibrationSAS VDMML / DI
Background

Resume

Experience

2+ Years Credit Risk Consulting

Education

M.Eng Industrial Engineering B.Eng Industrial Engineering Chulalongkorn University

Specialization

Credit Scoring & ECL Modeling Generative AI & LLMs Machine Learning & NLP

Technical Skills

Python • SQL • SAS • R PyTorch • LangChain • MLflow Docker • FastAPI • Git

Languages

Thai • Native English • TOEIC 890

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Career timeline

2024 – 2025

M.Eng. Industrial Engineering (Thesis Assessment: Very Good)

Chulalongkorn University

June – July 2024

Teaching Assistant

Peking University, Beijing

2024 – 2025

Teaching Assistant

Chulalongkorn University

September 2021 – December 2023

Credit Risk Consultant

Financial Services Advisory, KPMG Thailand

May – July 2020

Research Intern

DRMIS Research Group, Chulalongkorn University

2017 – 2021

B.Eng. Industrial Engineering (First Class Honours)

Chulalongkorn University