I am a second-year MSc student in the Department of Computing Science at the University of Alberta, Canada. I completed my undergraduate studies at Indian Institute of Technology (IIT) Jodhpur (India), earning a Bachelor of Technology in Mechanical Engineering with a specialization in Data Science.

My academic interests lie at the intersection of healthcare, Natural Language Processing (NLP), and Deep Learning, with a focus on building scalable, reliable and responsible AI systems for clinical data. I am motivated by the challenge of using data-driven methods to solve real-world problems in healthcare while ensuring privacy, safety, and ethical use of data. My background has equipped me with strong skills in problem-solving, analytical reasoning, algorithms, and statistical modeling.

I like exploring ML algorithms and investigating the extent to which they can be made fair and bias-free. My current areas of interest include:

• Clinical text de-identification and privacy-preserving NLP
• Deep Learning for healthcare
• Bias and Fairness in ML Algorithms
• Applied ML and building scalable solutions

During my time as a student, I got opportunities to expand my knowledge and gain practical experience. Such opportunities included my role as a Data Science and Machine Learning intern. This experience allowed me to work on real-world projects, collaborating with a team to analyse and extract insights from large datasets. It was during these internships that I discovered my passion for using Machine Learning and Deep Learning techniques to uncover patterns and make data-driven predictions. I am totally in for all the project involving Dev + ML!

I was awarded the Mitacs Globalink Research Internship, through which I was selected among students from 16 countries to undertake a summer research internship at the University of Calgary, Canada, further strengthening my research interests in applied machine learning.