Hi there! I’m an Applied Scientist at Microsoft AI. I completed my Master’s at the Language Technologies Institute, Carnegie Mellon University and earned my Bachelor’s degree in Computer Science and Engineering at PES University.
In 2024, I interned at Microsoft AI, where I utilized Bayesian hyperparameter optimization and network architecture search techniques to optimize model performance and size. In 2023, I interned at Apple and developed a few-shot multi-label text classifier and semi-automated data annotation.
My research interests are broadly efficieny and interpretability in machine learning. I briefly worked with Prof. Emma Strubell on ways to reuse parameters while growing and fine-tuning models. I also worked 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
- 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.
- 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