Academic Background

At CMU, I have

• Aced Machine Learning Courses: Deep Learning, Reinforcement Learning, Advanced Intro to Machine Learning, Probabilistic Graphical Models.
• Additionally overloaded on famous CMU systems courses like Database-systems, Computer Systems and ML systems.
• Aced (with nearly full scores) on Advanced Statistics courses like Larry Wasserman’s (36-705) and Advanced Statistical Theory (36709)
• Published research with Dr. Virginia Smith on Model merging at ICLR.
• Been a TA for Convex Optimization and Probabilistic Graphical Models.
• Maintained a 4.0 GPA

At IIT Hyderabad, I have

• Completed and additional major in engineering, an additonal minor in AI and additional honors in computer science.
• Took and aced 4 of the hardest Grad-level courses on Optimization (I was directly made a TA at CMU for this course).
• I overloaded and took courses in Classical Mechanics, Fluid-Mechanics and other mathematical physics courses!
• TA’ed for courses in programming, systems and also in Computability Theory!
• Did research with Dr. Vineeeth Balasubramanian (Under review at NeurIPS)
• Had the highest GPA in the CS Department (9.6/10)
• Played on the Basketball team.