About me
Hello! I am a Ph.D. student in Computer Science and Engineering at the University of California, Santa Cruz, where I am part of Professor Razvan Marinescu’s lab. My research focuses on developing differentiable physics-based simulators for medical imaging, with a particular emphasis on physics-based MRI simulators.
I recently completed my M.S. in Computer Science and Engineering at the University of California, Santa Cruz, and I hold a Bachelor’s degree in Computer Science with distinction from the Pune Institute of Computer Technology, affiliated with the University of Pune.
In addition to my primary research areas, I am passionate about general artificial intelligence, and exploring how large language models (LLMs) can help in my research domains. Additionally, I have a keen interest in systems and databases.
- Machine Learning
- Deep Learning
- Computer Graphics
- Object reconstruction
- Physics based simulators
- Large Language Models
- AI for Health
Ph.D. Computer Science and Engineering, Pursuing
University of California Santa Cruz
MS Computer Science and Engineering, 2024
University of California Santa Cruz
BE Compuer Science, 2021
Pune Institute of Computer Technology (University of Pune)
Experience
Working on:
- Medical Image Simulators
- Medical Image Visualization
- Mathematics
- Machine Learning
- Computer Graphics
CSE-13S Systems and C Programming:
- Conducting discussion sections
- Teaching C and UNIX programming
- Assessment of Assignments and Quizes
Working on:
- Medical Image Simulators
- Medical Image Visualization
- Machine Learning
- Deep Learning
CSE-12 Systems and Assembly Language:
- Conducting Lab sessions
- Teaching Digital logic design in labs
- Teaching and Debugging RISC-V in lab sections
- Assessment of Assignments and Quizes
Responsibilities and Achievements:
- Improving data preprocessing with Python, PySpark, and HiveQL, achieving over 90% time reduction for machine learning readiness.
- Deriving sales insights using advanced data analytics and SQL, facilitating strategic market expansion.
- Enhancing customer engagement through targeted recommendation algorithms, improving suggestion reach by 10%.
- Conducting efficient data integration and extraction using SQL and HiveQL for machine learning model inputs.
- Developing a dynamic dashboard to visualize sales and customer engagement, aiding in strategic decision-making.
Responsibilities include:
- Conducting Process Graphics validation to ensure alignment with project specifications.
- Performing database integrity checks to maintain adherence to input specifications and data accuracy.
Projects
