Who am I?
Tharid Chaisongkram (ธฤต ไชยสงคราม), founder of Innozight and DooDurian. I currently study Computer Engineering and Digital Technology (CEDT) at the Faculty of Engineering, Chulalongkorn University.
About
ธฤต ไชยสงคราม · Tharid Chaisongkram
From recognizing real problems to building AI products
For me, founders have to look at problems, users, technology, and growth as one thing.
Tharid Chaisongkram
Founder · AI Product Leader
First year students 1
Computer Engineering and Digital Technology (CEDT)
Faculty of Engineering Chulalongkorn University
Faculty of Engineering Chulalongkorn University
I’m Tharid Chaisongkram Founder of Innozight and DooDurian Responsible for setting the vision product strategy User experience and technology direction To transform real-world problems into usable and measurable AI products.
I work hands-on from Product Discovery, UX/UI and System Architecture to Computer Vision, Large Language Models, RAG, Frontend and Backend, making product decisions by understanding both business and technology constraints.
I lead technology and project management at Innozight, work as a project manager and developer on DooDurian, and offer web app development and AI automation through Fastwork.
Currently, I am a second year student. 1 course Computer Engineering and Digital Technology (CEDT) Faculty of Engineering Chulalongkorn University and was invited as Guest speaker for Kla Mai Fai Roo Year 21 To transfer project development strategies and use of AI to the new generation.
Watch video from SCB Thailand7
Actual products
11
Delivered projects
9
Competition results
A little more about me
What kinds of systems do I build?
I design and develop AI applications, web applications, and chatbots, from UX/UI and system architecture through frontend, backend, and AI or API integration.
Where can you verify my work and awards?
Chulalongkorn and Thammasat university news cover the DOO DURIAN team's second runner-up award at AI for Thai Service Onboarding 2026, with details about the team and its work.
From what is not yet known
To products that people actually try
Each phase isn't just about rewards or new technology. But there is a visible problem. Changing decisions and lessons learned to apply to the next project.
- Before 2024
Starting with Roblox content and creating experiences for the gaming community.
Became interested in creating media, games, and digital experiences by creating content about Roblox and serving as a Moderator and Builder for the Rider World community.
In 2023, join in developing help program projects and developing coding. It is the first public evidence of its software journey.
During this time, it made me understand that the things I create do not end with beauty or fun. But it must work with real players and staff.
What I learned
- Creating digital content and player experiences
- Communicating and working with online communities
- Listening to the behavior of real users
- Learning new tools by yourself
- 2024
Started developing DooDurian even though I had no background in Computer Vision.
Saw an opportunity to use AI to help screen for abnormalities and diseases from images of durian leaves. So I started studying Image Classification. During the process
From the experimental model, it gradually developed into a system that can receive images from users and display preliminary analysis results.
turning point
- It is not necessary to know everything before starting. But you have to know what problem you're solving.
- Learn to collect data, prepare datasets, train models, and test results yourself.
- Connect the model to your website and LINE to make it easier for people to use.
PythonMachine LearningComputer VisionTransfer LearningRoboflowGoogle ColabYOLOFlaskLINE Chatbot - 2024–2025
Change the prototype into something that judges and users can understand.
Develop DooDurian in terms of AI models, websites, LINE connections, and presentations in science and innovation forums.
We learned that innovation must explain the whole problem. Target group, benefits, limitations, and evidence—not It just shows that the technology works.
What I learned
- Write a project proposal and prepare a pitch deck.
- Create a prototype and demonstrate the system in front of the judges.
- Analyze target groups and create a business model.
- Communicate technology for the general public to understand
- 2025
AI work has been recognized on the national stage.
DooDurian receives awards from science, technology and innovation forums.
One of the important milestones is the Special Award in Artificial Intelligence from the Prime Minister's Science Award 2025.
evidence
- Develop projects more systematically
- Evaluate the feasibility of an idea before adding features.
- Communicate the value of technology within competitive criteria.
- Confirming that self-learning can be developed into national results.
- Late 2025–early 2026
Seeing the problems of innovation startups
From doing many projects and competitions. It has been found that many beginners have ideas. But I don't know how to develop it further.
Project information is scattered; Proposal, Business Model, and Pitch are inconsistent. Meanwhile, the recommendations from Generative AI are not continuous because they have to start explaining again every time.
turning point
- Start with the solution before understanding the problem.
- I don't know what next step I should take.
- Build features before checking user needs.
- These problems became the starting point for Innozight.
- 2026
Developing Innozight from a toolkit to Project-aware AI
Design an AI platform to help students and beginners. Turn ideas into structured projects
Responsible from Product Concept, UX/UI, Frontend, Backend, Database, AI Integration to system evaluation.
evidence
- Project Workspace, Design Thinking, and Business Model Canvas
- Preparing for user interviews and Interview Simulation
- AI Coach that continuously uses project data as context
- Pitching practice, data collection and exporting documents
- July–September 2026
Innozight has grown from a pilot system to a platform with real users.
The platform has developed to the point where users can apply for an account, take courses, do tasks, create projects, use Workspace, practice Interviews/Pitching. and actually join the community
Data from the Admin Dashboard as of September 1, 2026 shows growth from 116 to 210 users and from 39 to 124 Workspace projects since the July 16 snapshot.
- 210
- All users
- 124
- Workspace projects
- 136
- Simulation sessions
- 12
- course
- 13
- Mission
evidence
- Expands from Project Workspace to Learn, Practice, Community, Instructor, and Admin Operations systems.
- Prepare positioning project proposals, demonstration videos, and evidence of use for NSC and TICTA 2026.
- Analysis of committee criteria Separate facts from opinions. and reduce claims beyond evidence
- Structured Project Context is the component that increases scores the most in this internal test.
- Video published · July 14, 2026
Guest speaker for Kla Mai Fai Roo Year 21
Participated in conveying the topic of project preparation strategies and using AI as an assistant in the 21st year of the Kla Mai Hoi Kham project together with Mr. Chatchawan Sangkeettrakarn, senior research engineer from NECTEC.
This role builds on my role as a youth role model and assistant lecturer in my 20th year, bringing real project development experience back to help the next generation of participants.
evidence
- SCB Thailand names Tharid Chaisongkram as a guest speaker.
- Topics cover project planning and development in line with the needs of the target group.
- Introducing the application of AI to support systematic thinking, analysis, and project development.
Project StrategyAI-assisted WorkflowMentoringInnovationWatch video from SCB Thailand - August 19, 2026
DooDurian received the 2nd runner-up award from AI for Thai.
DOO DURIAN – AI Service team received the 2nd runner-up award from the AI for Thai Service Onboarding competition: pin services on AI for Thai 2026 organized by NECTEC NSTDA.
The work expands from a system for screening abnormalities and disease risks from images of durian leaves to an AI Service that includes an AI Chatbot with weather information. location and recording individual garden care information
evidence
- The results were officially announced by Chulalongkorn University and Thammasat University.
- Thammasat University identifies Tharid Chaisongkram as Project Manager and Developer in an interdisciplinary team from Chulalongkorn and Thammasat universities.
- The competition focuses on expanding AI work into services that can actually be used on the AI for Thai platform.
Computer VisionAI ChatbotWeather DataLocation DataAI for ThaiNews from Thammasat University - current
Study CEDT at Chula, ready to create products and share experiences.
Currently a first year student in the CEDT program, Faculty of Engineering. Chulalongkorn University and is the founder of Innozight and DooDurian.
Still exploring products like YANYON and planning to create content told from real experiences. by learning along with the audience
what is being done
- Develop Innozight to support more real users.
- Try DooDurian in a real-world context and explore the AI Agent.
- Develop skills in Software Engineering, System Design, and Product Development
- Open for work in developing AI, Web Applications, and teaching innovative projects.
Next goal
Grow your creation from an experimental project to a practical outcome.
short term
0–6 months
- Collect feedback from real users and personalize the Innozight experience.
- Create a Case Study of Innozight and DooDurian
- Continuously share lessons learned from product creation.
medium term
6–18 months
- Develop revenue-generating AI products and build teams for larger jobs.
- Work with schools, universities and organizations
- Opening a workshop on AI Product Development
long term
18 months and up
- Create a complete product from finding problems to expanding results.
- Build a technology team from Thailand to the international market
- Create systems that help users and make a real impact.
Skills
Tools used for real work
All skills are crystallized through project work and research training. NECTEC NSTDA It's not just from studying in the classroom.
Artificial Intelligence9
- Machine Learning
- Computer Vision
- Image Classification
- Large Language Models
- RAG
- Prompt Engineering
- AI Agent
- Multi-Agent Workflow
- Model Evaluation
Software Development11
- Python
- JavaScript
- TypeScript
- React
- Next.js
- FastAPI
- Tailwind CSS
- PostgreSQL
- REST API
- Git / GitHub
- Docker
Product & Innovation9
- Product Design
- UX/UI Design
- Design Thinking
- Business Model Canvas
- User Research
- MVP Development
- Project Planning
- Pitching
- Evaluation of innovation projects
Artificial Intelligence
- Machine Learning
- Computer Vision
- Image Classification
- Large Language Models
- RAG
- Prompt Engineering
- AI Agent
- Multi-Agent Workflow
- Model Evaluation
Software Development
- Python
- JavaScript
- TypeScript
- React
- Next.js
- FastAPI
- Tailwind CSS
- PostgreSQL
- REST API
- Git / GitHub
- Docker
Product & Innovation
- Product Design
- UX/UI Design
- Design Thinking
- Business Model Canvas
- User Research
- MVP Development
- Project Planning
- Pitching
- Evaluation of innovation projects
Work process
From Idea to Production
The process is clear and transparent, with a plan to follow every step.
1
⏱ 1 day
Consult and receive Brief
Discuss needs, goals, budget, timeline — free consultation.
2
⏱ 2-3 days
Plan and design
Design architecture, wireframe, tech stack with a clear timeline.
3
⏱ according to scope
Develop and Review
Write code to a high standard, with checkpoints for review along the way.
4
⏱ 2-5 days
Test and QA
Completely tested functional, edge cases, performance
5
⏱ 1-2 days
Deploy and Handover
Deploy production with documentation and training
1
Consult and receive Brief
Discuss needs, goals, budget, timeline — free consultation.
2
Plan and design
Design architecture, wireframe, tech stack with a clear timeline.
3
Develop and Review
Write code to a high standard, with checkpoints for review along the way.
4
Test and QA
Completely tested functional, edge cases, performance
5
Deploy and Handover
Deploy production with documentation and training
Ready to get started?
Tell me the project you have in mind. I will give you free advice and a scope evaluation within 24 hours.
Hire me — Free consultation