I'm a first-year MSc student in the Department of Computing Science at the University of Alberta, Canada. I did my undergraduate from Indian Institute of Technology, Jodhpur (India) in a Bachelor’s of Technology in Mechanical Engineering with a Specialisation in Data Science.

I have been captivated by the intersection of technology and engineering throughout my academic career. I believe the solution to today's complicated problems lies in harnessing the power of data and using it to encourage innovation. I have a strong foundation in problem-solving and analytical thinking, thanks to my undergraduate journey which has allowed me to delve even further into the world of algorithms, data science, and predictive modelling. 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:

• ML and DL
• Robustness in Foundation Models
• 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 by MITACS Canada. I was chosen amongst students from 16 countries to undertake a summer internship at the University of Calgary, Canada.