I’m a Master’s student at the Language Technologies Institute, Carnegie Mellon University. I completed my Bachelor’s degree in Computer Science and Engineering at PES University.
This summer, I interned at Microsoft as a Data & Applied Scientist Intern in the Bing Ads team where I am developed Bayesian hyperparameter optimization and network architecture search techniques for data-heavy models. Last spring, I interned at Apple as a Machine Learning intern where I worked on few-shot multi-label classification of error logs.
My research interests are broadly efficieny and interpretability in machine learning. I am currently working with Prof. Emma Strubell on ways to reuse parameters while growing and fine-tuning models. I am also working with Prof. Yonatan Bisk on evaluating the semantic understanding capabilities of text-to-image generation models. Previously, I worked on various other projects and you can find a list of my publications and my resume.
Personal Interests
I believe in the power of visual storytelling and teaching. I enjoy making study notes and I was awarded by PES University’s Department of Computer Science and Engineering for my immense contributions. Feel free to check out my notes! They are categorized by subject – most of them are CS subjects, but some are math/science.
I learn to play the South-Indian instrument Saraswathi Veena in the Carnatic style. I also enjoy cooking and baking quite a bit. I occasionaly enjoy making YouTube videos about my experiences and interests. You can check out my YouTube channel if it interests you!
News
- May 2024: I started my summer internship at Microsoft as a Data Scientist Intern in the Bing Ads team!
- December 2023: Attending my first NeurIPS to present at the Machine Learning for Audio Workshop!
- August 2023: Officially started my first Fall semester at the Language Technologies Institute at Carnegie Mellon University!
- July 2023: I wrote a Medium article on How I Scored a 330+ on the GRE.
- January 2023: I started my 6-month spring internship/co-op at Apple to work on Applied ML! I am so excited for this experience and unbelievably grateful.
- December 2022: I volunteered for the ISMIR 2022 conference in Bangalore, India from 4th to 9th December 2022.
- September 2022: I attended the ECML-PKDD 2022 conference in Grenoble, France with my teammates to present at the MLG workshop. Check out my vlog on it!
Education
Carnegie Mellon University | Pittsburgh, PA
Master of Computational Data Science (MCDS)
Coursework: Intro to Deep Learning (PhD), Intro to ML, On-Device ML (PhD), Cloud Computing, Advanced NLP (PhD)
PES University | Bangalore, India
Bachelor of Technology in Computer Science and Engineering
Awards: Prof. CNR Rao Scholarship (top 2%), Immense Contribution Award