🚀 AI Engineer | Data Engineer | Full-Stack Developer
📍 Bangkok, Thailand
🌐 watcharapon.dev | LinkedIn | ✉️ wera.watcharapon@gmail.com

I’m an AI Engineer with a deep focus on geospatial AI, LLM deployment, and cloud-native architecture.
At Thaicom, I design and implement large-scale, event-driven systems that turn complex environmental data into actionable insights — from carbon assessment to disaster prediction.

I’m passionate about building intelligent, scalable solutions that connect AI, data, and the cloud together into powerful systems.

Jul 2022 → Present | Bangkok, Thailand

• Designed asynchronous geospatial AI pipelines using AWS Lambda, SageMaker, and S3.
• Built serverless ELT pipelines with AWS Glue, PostgreSQL (PostGIS), and S3 for automated data ingestion.
• Deployed AI/ML and LLM models for national-scale disaster prediction and environmental analytics.
• Integrated Generative AI (OpenAI, AWS Bedrock, Anthropic) via LibreChat, MCP, and LangChain for RAG-based workflows.
• Automated infrastructure using AWS CDK / CloudFormation and integrated Microsoft Entra ID for secure enterprise access.

🧩 Projects:

• Carbon Watch – An AI-driven geospatial analysis platform for carbon storage and forest monitoring.
• AI4ALL Thaicom – LibreChat-based GenAI ecosystem for internal AI access, integrated with Microsoft Entra ID.

Jul 2020 → Jul 2022 | Bangkok, Thailand

• Developed a CRM chatbot platform for analyzing feedback from Facebook and LINE.
• Implemented KNN and Naive Bayes models for segmentation and spam detection.
• Built RPA systems for marketing automation and a LINE Developer system for quotation requests.
• Collaborated on a Face Recognition System using CMake, DLIB, and microservices.

• EasyStay Asia — Hotel booking platform with admin dashboard, payment gateway, reporting, and calendar management.
• Pasa Education — E-learning platform with online courses, workshops, and enrollment management.
• Asynchronous Face Recognition API — Built with FastAPI, dlib, and Redis for background training and real-time prediction.

Languages: Python, JavaScript (Nuxt.js / React / Next.js), SQL
Cloud & DevOps: AWS (Lambda, SageMaker, Glue, S3, RDS, CloudFront, CDK), Docker, CI/CD
Databases: PostgreSQL (PostGIS), MongoDB
AI/ML: OpenAI, AWS Bedrock, Anthropic, LangChain, scikit-learn, PyTorch
Architecture: Event-driven systems, Microservices, Serverless design

• AWS Certified AI Practitioner (Early Adopter)
• AWS Certified Cloud Practitioner
• AWS Security Engineering on AWS
• AWS Developing on AWS
• AWS Technical Essentials
• BSI Training Academy – Advanced AI/ML Courses
• National Research Office Inventor’s Day 2020 — Research Presenter (IoT Brine Monitoring System)

Bachelor of Computer Engineering (IoT Major)
Southeast Asia University (SAU)
GPA: 3.21

• Thai: Native
• English: Intermediate (Voxy Proficiency Score: 700)

“Turning complex data into meaningful intelligence through AI, code, and cloud.”