Many students spend years preparing for medicine or engineering. Few would dare to follow all these. And few can do anything well. But Nikhil Sadineni has done exactly that – turning what many would consider an impossible academic journey into an inspiring story.Nikhil made headlines in 2017 by securing an All India Rank (AIR) of 55 in NEET UG, and was admitted to the prestigious AIIMS Delhi for his MBBS. While most medical students would have focused on becoming a doctor, Nikhil saw something closer. He believed that Artificial Intelligence would revolutionize healthcare, and instead of waiting for the future to arrive, he decided to prepare for it.
While studying MBBS, he quietly enrolled in IIT Madras
The medical school is often described as one of the most prestigious programs in the country. However, while pursuing MBBS at AIIMS Delhi, Nikhil faced another challenge that surprised many.He enrolled in the Bachelor of Science (BS) in Data Science and Applications offered by IIT Madras, combining two rigorous programs at the same time.His decision was not motivated by curiosity alone. While studying medicine, he realized that AI, machine learning and data science will soon be important in diagnosis, medical imaging, patient care and hospital systems. Instead of choosing medicine and technology, he chose to do better.The effort paid off. Nikhil graduated from IIT Madras with an outstanding CGPA of 9.82, building expertise in deep learning, major language models (LLMs), intensive courses, extensive knowledge, data-driven development – all after completing his MBBS.
Then came another important thing—AIR 1 in GATE Data Science & AI
For many students, completing MBBS can be the end of a long educational journey. For Nikhil, it was just the beginning of something else.In GATE 2025, he got All India Rank 1 in the Data Science and Artificial Intelligence (DA) paper, one of the most competitive entrance exams for higher education.This success opened the doors to another great institute – Indian Institute of Science (IISc) Bangalore, where he is pursuing M.Tech in Artificial Intelligence.His way of learning is amazing because he combines two subjects that are creating a future together. Instead of seeing medicine and engineering as separate worlds, Nikhil has created a career at their intersection.
Why medicine and AI could be the next big combination
Nikhil’s journey also highlights the huge changes taking place in healthcare.Artificial Intelligence is rapidly changing the way diagnoses are made, medical records are analyzed and medical decisions are supported. From AI-powered radiology to predictive medicine and medical records, technology is becoming an increasingly important part of modern medicine.After experiencing the world firsthand, Nikhil worked as a Junior Resident at AIIMS Delhi before joining XpertDox, a US-based medical information technology company. There, he helped develop natural language processing (NLP) systems designed to create accurate and efficient medical records. He later became the company’s Director of Medical Informatics, applying his clinical knowledge and AI expertise to solve medical problems around the world.Today, while pursuing a master’s degree in Artificial Intelligence at IISc Bangalore, Nikhil continues to demonstrate how interdisciplinary studies can open up new career paths.His article has an important message for students who are preparing for competitive exams. Success is not about choosing one area over another. Sometimes, it’s about recognizing where two disciplines meet – and having the courage to do both.From getting AIR 55 in NEET, getting MBBS from AIIMS Delhi, completing BS in Data Science from IIT Madras, getting AIR 1 in GATE 2025, and now pursuing M.Tech in AI at IISc Bangalore, Nikhil Sadineni’s journey shows that the future of students is very low.Disclaimer: This article is based on the information shared publicly by Nikhil Sadineni through professional information and publicly available documents. Details of work and academic achievements are provided for informational purposes only and should not be construed as an endorsement of the institution, program or employer.