VIVEKAH M

Passionate about transforming healthcare through technology, I strive to develop innovative solutions that enhance patient outcomes. With a strong engineering background and a vision to contribute to the medical field, I am eager to work on groundbreaking projects that bridge the gap between technology and medicine.

Smart Venflon Insertion Assist, currently working on the development of a smart medical device to assist in venflon insertion by detecting veins and determining the most suitable cannula size The project focuses on achieving precision and usability in real-world healthcare scenarios, vein finder (existing), endoscopic camera (testing), OpenCV, Python, enhanced understanding of prototyping processes, sensor-based detection methods, and medical device innovation

MBBS Admission Offer, Newcastle University Medicine Malaysia, Offered admission, which was declined due to the COVID-19 pandemic.

• English
• Tamil

Singing Competitions, Participated in competitions since childhood, gaining recognition for performances. Calligraphy Award, Honored with an award in Grade 11 for exceptional calligraphy skills.

• Singing
• Writing
• Reading
• Binge watching

• Date of Birth: 05/21/02
• Gender: Female
• Nationality: INDIAN

• 3rd Prize, ITTCP Siemens Healthineers, Awarded for technical innovation and problemsolving skills.
• Participant, Cahotech Pitchfest at IISc Bangalore, Invited to pitch a healthcare innovation project.
• Part-time Teacher, Mathvision Enrichment Center, Singapore, Taught IB Biology (Higher Level and Standard Level) to students.
• Volunteer, NK Dental Clinic, Madurai, Assisted in patient care during treatments.
• Microbiology Skills, Acquired advanced skills in performing smears during Bachelor of Biomedical Science (Hons) at MDIS, Singapore.
• Teacher, iTeach, Taught students from Sri Kanaka English School and Rajarajeshwari School, Bangalore.
• Active Member, BMSCE Clubs, Pentagram, Rotaract, TeamCodelocked, and AugmentAI.

• Python 101 Data Science - IBM
• Machine Learning on MATLAB - MathWorks
• Machine Learning Onramp - MathWorks
• Machine Learning - Simplilearn
• Deep Learning Specialization - Coursera