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Last saved: August 10 at 1:51 PM +08
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ZUHAIR AZIZ Team Lead RSVP Approved
Full Stack AI at Rosary Labs
Building frontend with React Next.js and backend FastAPI
Have few years of building AI/ML models . Currently learning LLM and building AI applications to solve other people problems
Computer vision projects, NLP pipelines, full-stack development, analytical tools and dashboards
Building multi ai agents
Muthuraman Palaniappan RSVP Approved
Student at Taylors University
Creating and training deep learning model with MONAI TensorFlow Keras and UNet integration
Muthuraman Palaniappan is a Mechanical Engineering student at Taylor's University in Kuala Lumpur, Malaysia. As a self-taught machine learning enthusiast.
Im looking to learn more on how we can transform the diagnostic pathway and reduction in time for the diagnostics delay.I want to connect with the MOH to implement this and my goal is to reduce the primary care doctor negligience on this disease.Im looking to learn more on how we can effectively collaborate with different goverment body......
Im a self taught ML student workin on Endometriosis system.......instead of waiting for 8 to 10 years for diagnosis ......my system could detect if a woman has this disease or not within 8 minutes
Chie Weng Tham RSVP Approved
Data Science Intern at Rosary Labs
Integrating CrowdLab to combine all doctors' assessments into one verdict, integrated LLM pipeline for report generation
Chie Weng Tham is a Data Science Intern at Rosary Labs, with a background in Mechanical Engineering (Robotics Specialization) and Data Analytics from the National University of Singapore.
Harry Chandra Tsjan RSVP Approved
Data Scientist at Rosary
Building frontend with React Next.js and backend FastAPI, building semantic search with Pinecone (Vector DB) for past data
Hi, my name is Harry Chandra Tsjan. I'm a student at UTAR and currently interning at RosaryLabs. I'm passionate about exploring more in the field of AI and eager to deepen my knowledge and experience.
Ai engineer or Data enginneering
I recently completed a project using n8n that detects fraud by extracting email content and running it through a fraud detection analysis to determine whether it's a phishing attempt or safe