Building the Future of Smart Healthcare
Driven by technology, clinical compassion, and an urgent mission to eliminate long OPD waiting queues and democratize accessible healthcare for everyone.
Aqib Ayoub
Founder & Full-Stack Architect
Designed & Engineered End-to-End by Aqib Ayoub
I conceived, engineered, and brought ShifaLink to life from the ground up as an independent software architect. Frustrated by the hours elderly patients, families, and rural citizens spent waiting outside hospital OPD rooms without clear token visibility, I set out to engineer a modern, unified healthcare operating system.
From real-time WebSocket token event broadcasting, cloud API services, and hospital administrative control consoles to native cross-platform mobile apps for patients and on-demand home healthcare logistics — every module has been meticulously crafted to deliver seamless reliability and immediate clinical value.
Next.js, Node.js & PostgreSQL
Real-time WebSocket & FCM
Flutter Patient Application
Our Healthcare AI Research Team
I am leading a dedicated engineering and machine learning team that is actively developing and training our proprietary ShifaLink Clinical AI Model. Our mission is to bring intelligent, vernacular-ready medical triage and neural queue predictions to every hospital and smartphone in the region.
Team Profiles Under Confidentiality During Training Phase
To safeguard our proprietary architecture, dataset training benchmarks, and clinical evaluation protocols, the full profiles, bios, and photos of our AI engineering team members will be officially unveiled here upon completion of the AI model deployment.
What The AI Team Is Currently Engineering:
Conversational Clinical Triage
Specialized domain-adapted LLMs fine-tuned on medical guidelines to assist patients in identifying appropriate OPD departments and understanding preliminary symptoms.
Predictive ETA & Dynamic Wait Times
Neural time-series forecasting models analyzing doctor consultation tempo, patient complexity, and emergency room influx to provide accurate queue arrival times.
Multilingual & Vernacular Voice AI
Speech-to-text models trained on Kashmiri, Urdu, Hindi, and regional dialects to enable non-technical and elderly citizens to book appointments effortlessly using voice.
AI Engineering Roster (In Progress)
4 Specialized Research Roles in Active DevelopmentClinical LLMs & Triage Algorithms
Vernacular Kashmiri & Urdu ASR
OPD Queue Neural Forecasting
Medical Safety & Ethics Benchmarking
Want to collaborate, research, or partner with us?
We welcome healthcare innovators, medical practitioners, and engineering talent dedicated to transforming patient access.