Building medical devices, clinical workflows, and healthcare software with a focus on reliability, usability, and practical impact.
Biomedical engineer with hands-on field service experience at S.M.H.S Hospital, Srinagar through TBS India, with practical exposure to medical equipment support, preventive maintenance, calibration workflows, troubleshooting, and technical reporting in a clinical environment.
My academic background in Biomedical Engineering from Government College of Engineering & Technology, Kashmir has given me a foundation in medical instrumentation, medical imaging, biomaterials, and core engineering principles, while my practical work has helped me understand how reliability, safety, and clinical workflow integration matter in real healthcare settings.
Alongside biomedical engineering, I have also been building in software, automation, and AI-focused workflows, with work spanning medical device prototyping, biomedical CAD exploration, healthcare software, and intelligent diagnostic concepts. I am most interested in opportunities where biomedical systems, computer science, and applied AI come together to improve how healthcare technologies are designed, supported, and used.
Academic Foundation
Built a strong foundation in biomedical systems, instrumentation, medical imaging, biomaterials, and applied engineering concepts that continue to shape my work across healthcare technology and software.
Core Focus Areas
Biomedical Engineering Internship
Worked in a hospital-facing environment supporting clinical engineering and field service workflows around equipment readiness, troubleshooting, and documentation.
Designed and developed a near-infrared vein visualization prototype using Raspberry Pi and NoIR imaging hardware, paired with a real-time interface for vessel enhancement and low-cost clinical experimentation.
Built as a healthcare AI concept around medical imaging analysis, focusing on machine learning-assisted diagnosis workflows, data handling, and a scalable foundation for clinical decision-support software.
A study centered on the design and evaluation of an accessible NIR-based vein visualization system, combining open hardware, real-time processing, and practical medical-device thinking to explore lower-cost vein-assistance technology.