Hi, I’m Pluem (ปลื้ม)

Open to AI engineering and data science internships

Wisit Suwannao

Computer Engineering student at KMUTT, building applied AI products and reproducible data pipelines.

Organisations along the way

Internship hosts, university, programme organisers, and credential issuers.

  • NTi
  • Oneput
  • KMUTT
  • AIAT
  • CAI Camp by CP ALL
  • lablab.ai
  • AMD
  • Huawei Cloud
  • TPQI
  • ASEAN Foundation
  • Code.org
  • Google Skills

About

I’m Wisit Suwannao (วิศิษฐ์ สุวรรณเนาว์), or Pluem (ปลื้ม), a Computer Engineering student at King Mongkut’s University of Technology Thonburi.

My experience spans AI engineering internships, applied machine-learning programmes, and collaborative product competitions.

I like the full problem-solving loop: understand the source data, make a method measurable, then turn the result into a product or API with clear evidence, sensible safeguards, and tests.

Now buildingThai Public Data PlatformSep 2026 - Present, local-first data platform
  1. Understand the evidenceInspect the data, document its limits, and define what a useful answer needs.
  2. Measure the methodChoose suitable evaluation, test assumptions, and make trade-offs visible.
  3. Build for real useConnect models to APIs and interfaces with validation, guardrails, and tests.

Experience

Two AI engineering internships focused on evidence-grounded systems, document intelligence, and turning technical workflows into usable software.

NTi

New Technology Information Co., Ltd.

AI Engineer Intern

Built CRUiT, an evidence-grounded career recommendation product that helps Thai vocational learners compare study and career pathways.

  • Python
  • FastAPI
  • Pydantic
  • Next.js
  • TypeScript
  • Automated testing
  • Connected 171 official OVEC programmes with labour-market evidence from the Department of Employment (DOE).
  • Designed a six-stage workflow spanning profile validation, evidence retrieval, graph traversal, constrained pathway planning, and policy/claim checks.
  • Returned source-backed pathway comparisons and practical 30/60/90-day learning actions.
official programmes
171
stages, evidence to plan
6
day learning actions
30 / 60 / 90
CRUiT career-path interface showing evidence-led vocational pathway selectionCRUiT responsive mobile career-path interface
CRUiT desktop and mobile interfaceTechnical poster
Engineering details

A deterministic evidence engine establishes the recommended pathway; an optional language-model explanation layer communicates the validated result without changing its source-backed claims.

  • 0.38 ms median for the deterministic evidence path across 30 local runs (not an external or production-scale benchmark).
  • Eight claim checks, fallback/abstention behavior, PII checks, and regression replay against 13 frozen answers.
  • Automated coverage included 200 API/backend, 27 unit, 15 browser, and 43 end-to-end cases; tested flows had zero serious/critical WCAG 2.1 AA violations.
Oneput

Oneput Technology Company Limited

AI Engineer Intern

Developed a multimodal RAG workflow for ESG reports in PDF and Excel, handling complex layouts, charts, tables, and Thai text.

  • ColPali
  • Docling
  • Typhoon OCR 1.5
  • PyThaiNLP
  • FastAPI
  • ChromaDB
  • Go / Chi
  • PostgreSQL
  • MinIO
  • Docker Compose
  • Built asynchronous ingestion and hybrid retrieval that combined visual document retrieval with text search.
  • Added a trust layer to validate quoted source text, Thai spans, amounts, units, reporting periods, evidence references, provenance, and superseded values before human confirmation/export.
  1. PDF + ExcelReports with tables, charts, and Thai text
  2. Async ingestionParsing, OCR, and layout-aware preparation
  3. Hybrid retrievalVisual document and text evidence
  4. Verify, review, exportCheck quotations, units, periods, and provenance
Document pipeline

Document parsing and OCR feed a hybrid retrieval layer; retrieved evidence is checked by a Go/Chi service before a human reviews or exports the result. Retrieval uses ChromaDB with TF-IDF, fused through Reciprocal Rank Fusion (RRF).

Selected work

Two data problems: dependable analytical pipelines, and complex Thai documents made usable. Each opens as a full case study.

More on GitHub
  • Data engineering
  • Data quality

Thai Public Data Platform

In progressSep 2026 - PresentLocal-first data platform

Local dashboard preview with public-finance KPIs, a monthly expenditure trend, and regional labour-force bars

Turns two heterogeneous government Excel sources into reproducible, quality-gated analytical data.

government Excel sources
2
PostgreSQL layers
4
Airflow DAG tasks
8
  • Document AI
  • Data engineering

Twenty Constitutions Digitalization

Course projectApr - May 2026CPE232 Data Models

Presentation cover for the Twenty Constitutions Digitalization project

A document-engineering workflow that turns Thai constitutional archives into structured, reusable data.

Thai constitutions
20
source PDFs
38
words processed
~61K

Competitions

Hackathons and programme milestones. Each case covers the context, the result, and the technical breakdown.

Capabilities

Pick a capability to see where it shows up in the work.

Applied AI engineering

From source data and retrieval logic to evaluated model-assisted features, guarded APIs, and user-facing products.

  • Python
  • PyTorch
  • FastAPI
  • Pydantic

Data science and forecasting

Exploratory analysis, leakage-aware feature design, model comparison, and evaluation across meaningful time horizons.

  • PyTorch
  • Pandas
  • scikit-learn
  • PyCaret
  • AutoGluon

Generative and multimodal AI

Building grounded workflows across Thai language, complex documents, images, and video, with evidence people can inspect.

  • Thai NLP
  • Document AI
  • Vision
  • Audio

Software and data workflows

Connecting AI workflows to dependable services and interfaces through validation, testing, and maintainable system design.

  • Next.js
  • TypeScript
  • Go / Chi
  • PostgreSQL
  • Docker Compose

Languages and tools

  • Python
  • Java
  • C
  • C++
  • SQL
  • Go
  • TypeScript
  • JavaScript
  • PyTorch
  • scikit-learn
  • Pandas
  • Jupyter
  • FastAPI
  • Pydantic
  • PostgreSQL
  • ClickHouse
  • Apache Airflow
  • MinIO
  • Docker Compose
  • GitHub Actions
  • Next.js

Credentials

Certifications and completion records, with continued learning on Google Cloud Skills Boost.

  • HCCDA-AI Developer Certification

    Huawei Cloud

  • HCCDA-Tech Essentials Developer Certification

    Huawei Cloud

  • TPQI / Huawei AI Literacy

    Thailand Professional Qualification Institute

    Certificate of competency for AI Literacy for Power Users.

    2026

  • TPQI / Huawei Cloud Developer Level 5

    Thailand Professional Qualification Institute

    Certificate of competency and professional qualification.

    2026

  • Super AI Engineer Season 6

    Artificial Intelligence Association of Thailand

    AI Practitioner, Foundation AI Theory, and practice certificates for Data to Insight, Thai Election OCR, and FahMai RAG.

    2026

  • AMD Developer Hackathon: ACT II Completion

    lablab.ai / NativelyAI

    2026

  • AI Ready ASEAN Completion

    ASEAN Foundation, AI Ready ASEAN

    2026

  • Hour of Code Certificate of Completion

    Code.org

    2026

Google Cloud Skills Boost, badges and coursework: BigQuery, BigQuery ML, Cloud Run, Document AI, Vertex AI/MLOps, Vector Search/RAG, AI Agents.

View learning profile

Education

  • King Mongkut's University of Technology Thonburi logo

    Computer Engineering

    King Mongkut's University of Technology Thonburi

    Aug 2024 - Present, GPAX 3.66 / 4.00

  • Kasetsart University Laboratory School logo

    Senior high school, SCiUS KU

    Kasetsart University Laboratory School, Kamphaeng Saen Campus

    Jun 2021 - Apr 2024, GPAX 3.98 / 4.00

Languages

Thai
Native
English
Intermediate
Spanish
Studying

Contact

Open to AI engineering and data science internships.

Also happy to talk about applied AI collaborations and technical work. Based in Bangkok, Thailand.

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