Open to opportunities

Jedsada Artchomphoo

@jedsadaartchomphoo

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AI and robotics engineer focused on computer vision and practical ML deployments.

Thailand

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What I'm looking for

I seek roles applying computer vision and ML to real products, with hands-on model deployment, research collaboration, and opportunities for impact in medical robotics and local LLM solutions.

I am an AI and robotics engineer with hands-on experience in computer vision, deep learning, and deploying local LLMs. I combine academic research with practical product work to solve real-world problems in medical imaging and AI tooling.

During my degree in Automation, Robotics, and Intelligent Systems, I developed a U-Net–based GAN for single-port laparoscopic surgical robots and co-authored a paper under revision for ICCRE 2026. I have built real-time YOLOv8 detection models achieving 85%+ accuracy in pelvic surgery environments.

In internships and freelance work, I created a high-concurrency scraping engine with automated deduplication, deployed quantized local LLMs via Ollama, and built a standalone desktop app for automated Thai news curation. I validated software with Pytest and executed user acceptance testing to ensure production readiness.

I bring a pragmatic mindset, strong Python and deep learning skills, and a focus on integrating ML into practical applications—especially in medical imaging, robotics, and local LLM tooling.

Experience

Work history, roles, and key accomplishments

A.I. Engineer Intern

Artificial Intelligent Entrepreneur Association of Thailand

Nov 2025 - Mar 2026 (4 months)

Built a high-concurrency web-scraping and deduplication pipeline and deployed quantized local LLMs (Typhoon 2.5 4B, TranslateGemma) as backend; created a standalone desktop app for automated Thai news curation and executed V&V with pytest and UAT.

Python Web Scraping Data Cleaning Pytest Ollama Local AI Concurrency Deployment

Freelance Data Labeler

Fastwork.co

May 2025 - Nov 2025 (6 months)

Performed large-scale data labeling and verification for client AI models, ensuring high-quality ground-truth datasets to improve model training and validation.

Data Labeling Data Verification Quality Assurance Python Pandas

Research Project Lead

Khon Kaen University

Developed a U-Net based GAN for extrapolating laparoscopic camera field of view and co-authored a paper under revision for ICCRE 2026; built YOLOv8-based real-time object detection achieving 85%+ accuracy in pelvic surgery videos.

PyTorch U Net YOLOv8 Computer Vision Python OpenCV Research Academic Writing

Education

Degrees, certifications, and relevant coursework

Khon Kaen University

Bachelor of Engineering, Automation, Robotics, and Intelligent Systems

Grade: GPA 3.22

Activities and societies: Senior project: U-Net Based Generative Adversarial Networks for Single-port Laparoscopic Surgical Robot; awards: Google Data Analytics Specialization (Coursera), 1st Prize Hackathon KITO x 42 Bangkok, Toyota Tsusho MATLAB Training, multiple competition runner-up placements (2025).

Bachelor of Engineering in Automation, Robotics, and Intelligent Systems with senior project on U-Net based GANs for single-port laparoscopic surgical robot; coursework included machine learning, image processing, and data science.