MECHANICAL DNA · SOFTWARE CRAFT · AI MINDSET
AI Engineer with 6+ years across manufacturing, backend engineering, and industrial digitalization, building computer vision, data pipelines, LLM/RAG, and agentic AI applications with Python and TypeScript.
01 · THE STORY
Mechanical engineering taught me systems thinking. Software gave me leverage. Data made decisions visible. AI connects them into products people can understand and use.
2015-19
B.Eng. Mechanical Engineering, Suranaree University of Technology
2019-23
Production engineering, Kaizen, quality systems, and team leadership
2023-26
Full-stack systems, data platforms, CI/CD, and production-grade delivery
Now
Currently completing Super AI Engineer S6 Level 3 and an AI Engineer internship at the Artificial Intelligence Association of Thailand
I can move from a real user problem to the data, the architecture, and the model - while keeping the full system connected.
02 · SELECTED WORK
From production-grade systems to insight-led hackathons: selected work that connects engineering decisions with real people and operational context.
SMART FACTORY · CASE STUDY 01
An end-to-end quality data system that replaced paper records with barcode traceability, live dashboards, and near-real-time critical defect alerts.
SUPER AI S6 · MINI-HACKATHON 01
An insight-led analytics dashboard that turns 877 domestic-violence records into an explainable view of risk factors, affected groups, locations, time patterns, and policy priorities.
THAILAND TOURISM · PRODUCT HACKATHON
A bilingual, multi-sided tourism business concept connecting traveler demand with hidden gems, local guides, community businesses, travel buddies, and transparent transport.
03 · APPLIED AI CAPABILITIES
Four connected layers I use to move beyond a notebook: structure the signal, design the intelligence, build the product, and deliver it with evidence.
Turn images, records, and operational events into data a model or product can trust.
Structured sensitive social data across geographic, demographic, behavioral, and reporting dimensions.
View analytics case ↗Choose models, retrieval, and tool-use patterns around the decision—not the trend.
Combined sparse and dense retrieval, multilingual embeddings, query refinement, and grounded answer generation.
View RAG system ↗Wrap intelligence in APIs, interfaces, and data systems that people can actually use.
Connected traveler demand with hidden gems, local guides, community businesses, buddies, and transport providers.
View Thai Unseen ↗Move from requirement to release with validation, feedback, and traceability built in.
Delivered barcode capture, PostgreSQL traceability, role-aware UX, live dashboards, and alerts as one system.
View production case ↗04 · EXPERIENCE LOG
Each role added a new layer: process discipline, software craft, industrial digitalization, and now applied AI engineering.
Artificial Intelligence Association of Thailand · Thailand
Building applied AI systems during an in-progress Super AI Engineer Level 3 apprenticeship, spanning prototypes, LLM applications, agentic workflows, data pipelines, and EDA.
CURRENT WORKSTREAMS
Developing AI prototypes, LLM applications, agentic systems, data pipelines, and exploratory data analysis.
IN PROGRESSResearching the feasibility of training large language models from scratch to support sovereign AI.
IN PROGRESSDeveloping AI-enabled data workflows for SIP SIP, a wellness wearable project.
IN PROGRESSMAHLE Engine Components (Thailand) · Bangkok
Delivered machine vision, production data visualization, and AI-transformation assessment across real manufacturing workflows.
SELECTED IMPACT / RESPONSIBILITY
Deployed machine vision to detect piston defects before packing and shipment.
Built production data visualizations for MAHLE's digitalization initiatives.
Assessed AI transformation opportunities with cross-functional plant teams.
Built an end-to-end waste tracking system covering requirements, database design, application delivery, and CI/CD.
Software Provider · Bangkok
Moved from coding bootcamp projects into professional software delivery, balancing backend implementation with client-facing technical discovery.
Designed solution architectures and proposals for public-sector procurement bids.
SELECTED IMPACT / RESPONSIBILITY
Built and refactored TypeScript backend services while translating technical requirements into working solutions.
Designed solution architectures and proposals for public-sector procurement bids.
Designed APIs for database integration and optimized query performance.
ENKEI THAI · Samut Prakan
Learned to improve processes where every second, safety decision, and production handoff had a measurable operational cost.
Improved PLC sequence logic and cut cycle time by 12 seconds, earning a Kaizen Award.
SELECTED IMPACT / RESPONSIBILITY
Conducted internal audits for ISO 14001, ISO 45001, and IATF 16949 compliance.
Improved PLC sequence logic and cut cycle time by 12 seconds, earning a Kaizen Award.
Progressed into an Assistant Team Leader role supporting people, output, and production priorities.
Need the complete chronology and contact details?
Open full resume05 · HACKATHON LAB
Awards are only the headline. These mini case studies show the problem, my contribution, and the evidence behind each result.
I share the problem class, my role, working approach, and public outcome. Private datasets, partner architecture, prompts, and source code are intentionally omitted.
Intelligent Transport Systems
Move an intelligent-transport prototype toward an edge-ready, reviewable delivery workflow.
Model transformation · edge integration · audit log
Owned the bridge between model output and a traceable system response.
System details and partner context are intentionally generalized. More context is available in an interview where permitted.
Enterprise Data Agent Showdown
Help an AI agent retrieve and use fragmented enterprise information across unstructured sources.
Tool-use design · unstructured data · answer flow
Focused on how the agent chose tools and grounded its response in available evidence.
Private data sources, prompts, and agent architecture are not shown. More context is available in an interview where permitted.
Wellness, Wearables & E-Health
Turn human-sensing and wearable signals into a wellness concept people could understand and value.
Database · sensor logic · product concept
Connected the data model and sensing logic to the team's user-facing product story.
Sensor implementation and partner-specific details remain confidential. More context is available in an interview where permitted.
06 · LEARNING JOURNEY
The path was not linear, but every stage compounds: engineering fundamentals, software delivery, then a three-level applied AI pathway.
Suranaree University of Technology
Studied thermodynamics, internal combustion engines, and power plants; completed an 8-month automotive manufacturing co-op. GPAX: 2.89.
TECHUP
Completed full-stack software development training across frontend, backend, databases, version control, and hands-on web products.
SUPER AI ENGINEER · SEASON 6
Artificial Intelligence Association of Thailand
Completed the online learning pathway, passed the Foundation AI theory assessment across 13 courses, and completed three verified online hackathon rounds.
Advanced through on-site workshops and team-based challenges, working hands-on across models, data, AI tools, and product delivery.
Currently applying the program's technical foundation through an in-progress AI Engineer apprenticeship with practical research, data, delivery, and evaluation work.
07 · VERIFIED LEARNING
Certificates, assessments, and hackathon milestones with direct evidence or issuer verification.
OPEN FULL DOCUMENT ↗ISSUED BY · Artificial Intelligence Association of Thailand
Passed the foundational AI theory assessment after completing 13 courses spanning programming, mathematics, machine learning, deep learning, vision, NLP, RAG, ethics, and digital business.
ISSUED BY · Artificial Intelligence Association of Thailand
Completed participation requirements and passed the foundational AI Practitioner assessment for Super AI Engineer Season 6.
ISSUED BY · Super AI Engineer Season 6 · Round 1
Passed the first online practice hackathon, transforming raw data into interpretable findings and decision-ready insight.
ISSUED BY · Super AI Engineer Season 6 · Round 2
Completed an agentic pipeline challenge built around OCR and structured information extraction from Thai election documents.
ISSUED BY · Super AI Engineer Season 6 · Round 3
Passed the third online practice hackathon focused on retrieval-augmented generation and applied AI system design.
OPEN FULL DOCUMENT ↗ISSUED BY · ASEAN Foundation · Supported by Google.org
Completed the 12-hour AI learning pathway and all 15 educator modules covering AI literacy, prompting, ethics, privacy, safety, education, and simple AI-based tools.
ISSUED BY · TECHUP
Intensive software development program spanning frontend, backend, relational data, and product delivery.
08 · LET'S BUILD
I am looking for an AI Engineer role where models meet products, users, and real technical constraints - especially computer vision, data systems, and LLM applications.
