About me

A PhD student at IIT-Delhi focusing on the development of Healthcare AI systems that cater to the unique challenges of resource constrained settings in developing nations. I am currently being advised by Prof. Rahul Garg and Prof. Srikanta Bedathur (CSE, IIT-Delhi), and Dr. Vishnu VY (Neurology, AIIMS-New Delhi).

Recently, I successfully completed my MS (Research) from SIT, IIT-Delhi, where I worked closely with Prof. Rahul on early identification of Brain Strokes and classification of its types in resource limited environments. Additionally, I have made significant contributions by developing a generic sparse factor model using an unsupervised approach, enabling a deeper understanding of observed variables of the data in terms of a fewer number of latent factors.

My educational background includes a B.Tech. degree in Electronics and Communications Engineering from the National Institute of Technology, Hamirpur (H.P).

In addition to my academic pursuits, I possess 4 years of valuable industrial experience. As a Research Intern, I have worked on Natural Language Processing projects, specifically focusing on LLMs for Code (AI4Code) and Neuro-Marketing (AI for Marketing). Furthermore, I have served as a DevOps Engineer, utilizing my skills in Docker, Openshift, Jenkins CI/CD Pipeline, GitHub, and SVN. Additionally, I have hands-on experience as a FullStack Developer, proficient in Angular, .Net MVC, C#, HTML5, CSS3, and JavaScript. Moreover, my expertise extends to UI/UX design, utilizing tools such as Adobe XD, Photoshop, Illustrator, Figma, Invision, Wireframing, and more.

I am passionate about leveraging cutting-edge technology and research to improve healthcare accessibility and outcomes in developing nations. Feel free to reach out to me for collaborations, research opportunities, or any related discussions.

News

• Two abstracts titled "Lost In The Past: How domain shift in data impacts the performance of ML-based models for Stroke type identification" (Poster Presentation) and "Protocol for visual data collection to enable Computer Vision and Deep Learning for the identification of Stroke and Stroke-type in resource limitations" (Oral Presentation) got accepted at World Congress of Neurology (WCN) 2023, Montreal, Canada and will be published in "Journal of the Neurological Sciences" (IF: 4.553).

• 20-23 June 2023: Attended an exceptional 4 days workshop on "Enhancing Research Skills" by Prof. Narasimman Sundararajan, a true luminary in his field and a former Professor at NTU-Singapore, as well as an ex-ISRO Scientist.

• 15 June 2023: Completed PhD coursework with CGPA 9.43 on a scale of 10.

• 28-31 Jan 2023: Attended Google Research Week 2023 at Bangalore (KA), India.

• 26-29 Oct 2022: Abstract presentation (Oral Communication) at World Stroke Congress 2022. Title: "Clinical Identification Of Stroke And Stroke Type Via Clinical Attributes And Gait Analysis In Resource Limited Environment". It got published in International Journal of Stroke (IF: 6.948). 

• 23 Sept 2022: Joined PhD @ IIT-Delhi.

• 31 Aug 2022: MS (Research) Thesis submitted.

• 13 Aug 2022: Article titled "A View Independent Classification Framework for Yoga Postures" accepted in Springer Nature Computer Science. 

• 28 July 2022: Article titled "Machine Learning Based Reanalysis of Clinical Scores for Distinguishing Between Ischemic and Hemorrhagic Stroke in Low Resource Setting" accepted in Journal of Stroke and Cerebrovascular Diseases (IF:2.677).