Team
MOHacker
Project Concept
Team mostly consist of me as the builder and actual MOH domain experts (cross finger) to solve real issues. As a patient myself and frequent visitor to hospital I think there is a lot of opportunity to make a win win situation for the industry.
Looking for AI expert, frontend, backend designers to join in and have fun together.
Not my first hackathon and have previously joined a few back.
Entry
Status: Submitted
Last saved: August 10 at 1:57 PM +08
Team Roster
Message board not available for this team yet.
Aaron Tan Team Lead RSVP Approved
Design Engineer at Remote Work Malaysia
Aaron Tan – Team Lead & Product Design
- Directed project coordination, ensuring smooth collaboration across technical, medical, and business functions
- Designed the clinician-facing UI/UX, focusing on an intuitive dashboard that supports hospital workflows
- Developed user journey flows with input from the medical and business teams to maximize adoption potential
A Design Engineer 🦄 that takes technology and humanized it. Loves cold brew tea & coffee. Low/No-code designer & developer.
Design Thinking, Design System, User Interface (UI), User Experience (UX), User Research, Responsive/Adaptive HTML5 design, Web Frontend technologies (Bootstrap, HTML5, CSS3, JQuery, Angular, React), CMS platforms (Webflow, Joomla, Wordpress, Drupal, Umbraco), Design tools (Figma, Sketch, Photoshop), Prototyping tools (Invision, Zeplin, Keynote), Low/No-code tools (Webflow, Zapier, Airtable, Pipedream, Make)
Building a platform for Remote Work Malaysia using AI assisted (vibe coding)
Dino Goh RSVP Approved
Co-Founder at Zeze intelligence Sdn Bhd
Dino Goh – Business Strategy, Market Validation & Storytelling
- Shaped the business concept and deployment strategy in close consultation with the team, aligning technical design with real MOH pain points
- Led market and feasibility research, consolidating post-COVID healthcare statistics, clinician feedback, and competitor benchmarks to validate need
- Collaborated with the team to map the proof-of-concept roadmap, ensuring technical build and integration plans matched healthcare realities
- Worked with Aaron on positioning and narrative, producing the demo video and pitch storyline that tie technical features to measurable national impact
Dynamic founder and AI enthusiast, I am the driving force behind Zeze Intelligence, where I specialize in creating AI-driven health scanners that revolutionize beauty diagnostics and personalized care. With a deep passion for innovation and technology, I’ve transitioned from a background in scalp therapy to leading AI projects that empower businesses in the wellness and beauty industries. My goal is to combine my entrepreneurial spirit with my expertise in AI technology to transform how beauty diagnostics are conducted globally. I am always eager to experiment, learn, and connect with like-minded professionals to drive impactful change.
I’m focused on advancing AI applications in wellness and beauty, particularly in diagnostics. I’m eager to explore how AI can enhance beauty and health services, specifically in hair, skin, and wellness diagnostics. I’m also looking to collaborate with AI experts to fine-tune models and improve diagnostic accuracy. Additionally, I aim to connect with potential business partners, investors, and collaborators to expand the reach of AI-driven beauty tech solutions.
Zeze Intelligence AI Health Scanners: Leading the development of AI-driven scanners used in beauty salons, wellness centers, and clinics to enhance diagnostic precision, streamline operations, and personalize customer care.
AI in Beauty Diagnostics: Innovating in the beauty tech space, working on the integration of AI models like Yolov7 to detect hair density, skin conditions, and other beauty-related diagnostics.
Collaborations with Industry Leaders: Building partnerships with beauty salons and wellness centers to drive adoption and demonstrate the capabilities of AI in beauty diagnostics.
Kevin Loh RSVP Approved
Software Engineer at Freelance
Kevin – Full Stack Developer
- Built the end-to-end prototype, integrating AI transcription, LLM summarization, and EHR APIs into one system
-Implemented secure data handling per PDPA/HIPAA guidelines
- Optimized performance for real-time transcription and instant SOAP note generation, enabling a smooth demo experience
curious builder that has interested in how tech can be used for good,
some things i've looked into
- successes of SG GovTech, and their annual Hack for Public Good (really interesting projects, format, and writeups), 2024's Pair Search caught personal interest, Pair eventually evolved into a suite of LLM-powered products for SG gov officers
- general health industry interests (accessible early detection kits, AI in healthcare, standards & policies)
- collecting Waze traffic & reports data (surprisingly accessible via web)
7 hackathons podiums back in 2016-17,
https://thesun.my/archive/alleviating-traffic-woes-ETARCH439158
verticals:
- healthcare
- public transport/urban planning
- automation
- personal health journal, with manual & automated metrics & proxies that informs my health/status
- app that tracks updates over an interest, i.e. company, topic, over time,
so i can catch up with them whenever i want to
- web/browser based automation with LLMs
Low Kok Phin RSVP Approved
Consultant Paediatrician at Signature Child Specialist Clinic
Dr. Low Kok Phin – Medical Domain Expert (Pediatrician)
- Provided first-hand clinical workflow insights to guide realistic system design
- Advised on MOH-compliant documentation and validated medical accuracy of AI outputs
- Highlighted specialty-specific requirements, ensuring adaptability for pediatrics and other fields
Dr. Low is a consultant paediatrician with extensive experience across Malaysia’s healthcare system, from tertiary centres in West Malaysia to rural hospitals in Borneo. He is the director of Signature Child Specialist Clinic and SPARK Child Development Centre, where he leads efforts in integrating AI into paediatric developmental screening.
He has chaired symposiums on AI-powered health technologies, including Malaysia’s first digital peak flow meter for asthma monitoring. With deep clinical insight and a passion for innovation, Dr. Low bridges the gap between frontline paediatric care and digital health, advocating for solutions that are both impactful and scalable within MOH settings.
Early developmental screening, automated clinical documentation, remote monitoring, health system optimisation, AI-driven health education tools
Currently, I’m working on developing an AI-assisted developmental screening track at SPARK Child Development Centre, where I serve as a paediatrician and director. This project aims to streamline early identification of neurodevelopmental conditions using structured input from multidisciplinary teams, integrated with AI to enhance screening accuracy and referral pathways.