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Siddhi SarafSS
Open to opportunities

Siddhi Saraf

@siddhisaraf

I build AI-enabled healthcare tools for medical imaging, clinical decision support, and biomedical devices.

India
Message

What I'm looking for

I'm looking for opportunities to build AI-enabled healthcare technology, medical imaging tools, and clinical decision-support systems while growing through interdisciplinary work with clinicians and biomedical engineers.

I've contributed to an AI-enabled Meibomian Gland Analyser prototype at IIT Bombay's Biomedical Engineering and Technology Innovation Centre, working with clinicians and biomedical engineers on technical requirements, Python, Raspberry Pi, and camera hardware.

My projects apply machine learning to healthcare challenges: I built an explainable multi-task model for blood cell classification and abnormality detection, using TensorFlow, ResNet-18, Grad-CAM, and Gradio to achieve over 85% weighted F1-score.

I've also developed a pacemaker-risk prediction application for clinical decision support in rural healthcare and designed a pulse oximeter prototype for non-invasive SpO₂ monitoring.

Through internships at Jaslok Hospital and Digital Transformation Academy, I've gained exposure to clinical engineering, hospital equipment, AI chatbots, and business automation. I'm pursuing Biomedical Engineering with a specialization in AI in Healthcare.

Experience

Work history, roles, and key accomplishments

BI

Research Intern

Biomedical Engineering and Technology Innovation Centre, IIT

Jan 2026 - Apr 2026 (3 months)

Contributed to the development of an AI-enabled Meibomian Gland Analyser prototype. Collaborated with clinicians and biomedical engineers to define technical requirements and assisted in developing a proof-of-concept using Python, Raspberry Pi, and camera hardware.

Education

Degrees, certifications, and relevant coursework

Vidyalankar Institute of Technology logoVT

Vidyalankar Institute of Technology

Bachelor of Technology, Biomedical Engineering

Grade: SGPI: 8.9

Pursuing a Bachelor of Technology in Biomedical Engineering with a specialization in AI in Healthcare, achieving an SGPI of 8.9.

Tech stack

Software and tools used professionally

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