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.
GenAI Floor Plan System
AI Full Stack Intern @ Spacely AI
"Increased workflow efficiency by 40% & reduced manual drafting."
Led the end-to-end design of internal tools for Generative AI floor plan creation. Designed systems that autonomously convert raw inputs into digital floor plans, eliminating manual annotation effort.
Design-to-Price AI Engine
AI Engineer @ Vulcorn X
"87% mAP object detection, 50% precision boost in pricing."
Engineered advanced object detection and regression models to optimize design-to-price predictions. Automated CI/CT/CD workflows using ZenML and AWS ECS/ECR, increasing model rollout frequency by 60%.
Furnice
Winner @ AWS Hackathon 2023
"AI-powered furniture platform for faster design & sales."
Designed a user-driven design generation system utilizing Stable Diffusion and Scribble ControlNet. Built an AI-powered platform integrating image generation and LLMs.
Voice Cloning Pipeline
AI Engineer Intern @ Botnoi
"Cut dataset preparation time by 400% for voice cloning."
Architected an end-to-end synthetic data pipeline using Librosa, Whisper, and OpenVoiceV2. Expanded multi-lingual TTS systems by adding four new languages via speech analysis.
Automated Broadcast System
Software Engineer Intern @ True Corp
"Reduced latency by 90% (<5s delivery), saving over ฿1M."
Developed a high-performance broadcast system using FastAPI, Redis, and Celery. Designed a novel business solution prototype for SMEs to support regional market expansion.
BeeLearn
Hackaday Project
"RAG-based teaching assistant for e-learning."
Designed and developed an e-learning web application to connect like-minded learners. Implemented an LLM-based teaching assistant utilizing Retrieval-Augmented Generation (RAG) with LangChain.
The Engineer's Mindset
I am Siwarat Laoprom, a Software Engineer specializing in Generative AI and full-stack development. My focus is on creating intelligent systems that solve real business problems.
Experienced across startup, corporate, and research environments, I build end-to-end AI solutions—from prototype to production. I am passionate about leveraging data, automation, and scalable architectures to drive innovation, efficiency, and measurable business impact.
Experience Log
AI Full Stack Software Engineer Intern
- Led end-to-end design of internal tools for Generative AI floor plan creation.
- Integrated advanced AI services: high-resolution image scaling and multiple-angle image generation for interior design.
Software Engineer Intern
- Built automated alert broadcasting system reducing delays by 90% (saving ฿1M).
- Designed business solution prototypes for SMEs presented to executives.
AI Engineer
- Developed object detection model (87% mAP) and price prediction regression (+50% accuracy).
- Orchestrated CI/CT/CD pipeline (ZenML, AWS, K8s) increasing rollout freq by 60%.
AI Engineer Intern
- Deployed synthetic data pipeline (Whisper, OpenVoiceV2) cutting prep time by 400%.
- Expanded multi-lingual TTS system to four additional languages.
Lead Research Assistant
- Engineered car damage assessment system (Instance Segmentation 61% mAP).
- Led team of 3+ researchers in point cloud ML and heritage preservation.
Super AI Engineer Season 3
- Developed HVAC coil condition model (99% accuracy) and liver lesion detection (YOLOv8x).
- Created geospatial poverty estimator and logo search engine (ViT).
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)