






I Build Products Where AI
Isn't a Feature, It's the Foundation.
The AI Evidence
A collection of products where I've deployed intelligence to solve real user problems.
The Engineer's Mindset
Born and raised in the rural landscapes of Nakhon Phanom, a serene province in northeastern Thailand, my curiosity for the mechanics of the world took root early. By middle school, this fascination had evolved into a clear ambition: I was going to be an engineer. I spent those formative years tinkering with robotics and competing in engineering challenges, which eventually led me to King Mongkut's University of Technology Thonburi (KMUTT) to pursue a degree in Computer Engineering.
My true pivotal moment arrived during my freshman year when I joined the Super AI Engineer Season 3 program. It wasn't just my introduction to Artificial Intelligence; it was an immersion into a community of visionary thinkers. Engaging in high-intensity hackathons and collaborating with inspired individuals transformed my technical foundation into a lifelong passion for innovation.
Today, those experiences have solidified my identity as a builder and problem-solver. My drive is currently focused on the frontier of Agentic AI—exploring its research and developing applications that bridge the gap between human intent and autonomous intelligence.
Experience Log
Software Engineer Intern
- Streamlined internal content workflows by producing 1000+ design presets through the architecture of an end-to-end Generative AI floor plan creation system, significantly reducing manual design time.
- Boosted inbound traffic by 30% by optimizing landing page SEO and developing dynamic, high-intent use-case pages to improve search engine visibility and user acquisition.
- Enabled high-fidelity design outputs for 10,000+ user requests by integrating AI super-resolution (scaling) and multi-perspective image generation services into the production platform.
Software Engineer Intern
- Reduced communication latency by 90% and saved ฿1M+ in operational costs by engineering an automated alert broadcasting system using FastAPI, Redis, and Celery to achieve ≤5-second message delivery.
- Pioneered a regional SME expansion strategy by presenting a high-impact business prototype to executive leadership.
AI Engineer
- Automated technical data extraction from engineering drawings achieving 87% mAP and 100% OCR accuracy by integrating specialized object detection and character recognition pipelines.
- Optimized design-to-price predictions by 50% precision by engineering multimodal regression models that ingest multi-source drawing data and tabular specs, reducing quoting errors by 40%.
- Increased model rollout frequency by 60% by architecting automated CI/CT/CD workflows using ZenML, AWS, and Kubernetes to ensure scalable and reliable AI solution delivery.
AI Engineer Intern
- Reduced data ingestion latency by 4x through the development of a synthetic audio pipeline (Whisper/OpenVoiceV2) and a custom text-processing engine for automated dataset expansion.
- Integrated 4 new languages into a production TTS system by architecting end-to-end data pipelines and performing rigorous evaluation experiments to maintain gold-standard audio quality.
Lead Research Assistant
- Directed two research teams to develop SOTA Computer Vision frameworks, resulting in two IEEE publications on automated blueprint analysis and real-time instance segmentation.
- Published "Automated Bounding Dimension Retrieval" Proc. IEEE ICCI, 2025.
- Published "Real-time Car Part Instance Segmentation" Proc. 28th ICSEC, 2024.
Super AI Engineer Season 3
- Developed advanced AI models for real-world applications, including a geospatial-based poverty rate estimator using AutoGluon, a high-performance logo search engine with ViT-base autoencoder and OCR, and YOLOv8x for medical image analysis in liver lesion detection.
- Engineered innovative solutions in signal processing and creating an image regression model for human motion prediction from ultra-wide-band signals.
- Designed and implemented scalable data processing systems, including a long document retrieval pipeline utilizing BERT and Elasticsearch.
- Led and collaborated with a team of AI engineers to develop cutting-edge models for real-world applications. Demonstrated exceptional problem-solving and innovation skills while successfully participating in weekly hackathons.
Community Leadership
Google Developer Student Clubs - KMUTT (Core Team) | Sep 2023 - May 2025
"Collaborated effectively to plan and deliver engaging tech events and workshops, driving successful participation."
Education
KMUTT
King Mongkut's University of Technology Thonburi
B.Eng. Computer Engineering
2022 - Present
Performance Metrics
Awards
Winner ($1,500) | GenAI Hackathon 2025
Powered by MITR PHOL Group
Winner ($5,000 Credits) | AWS Hackathon
42 Bangkok x AWS, 2023
Bronze Medalist | Super AI Engineer S3
AI Association of Thailand
Publications
"Real-time Car Part Instance Segmentation..."
Proc. 28th Intl. Computer Science & Engineering Conf. (ICSEC 2024)
"Automated Bounding Dimension Retrieval..."
IEEE Intl. Conf. on Cybernetics and Innovations (ICCI 2025)