Scholar
Rushabh Musthyala
Google Scholar ID: frhNTC4AAAAJ
NYU Courant Institute of Mathematical Sciences
Citations & Impact
Citations
13
H-index
2
i10-index
0
Publications
6
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- 1. Developed a data analysis AI agent using RAG and LLM-based autonomous agents to translate natural language queries into executable SQL for real-world datasets.
- 2. Developed a 3D foundational model for head-CTs.
Research Experience
- 1. Risk Engineer: July 2024 - Present, Goldman Sachs, Developed an efficient program for validating quarterly reports, wrote Python scripts to automate regulatory report creation, established data cleaning and monitoring protocols, led the development of credit risk monitoring systems.
- 2. Deep Learning Researcher: August 2021 - January 2022, Computer Vision Center, UAB, Worked under Dr. Luis Herranz and Dr. Javier Corral, studied deep learning approaches to low-light image enhancement, explored the use of GANs, developed a CycleGAN-inspired pipeline achieving near state-of-the-art image enhancement.
- 3. Software Engineering Intern: May 2021 - July 2021, Salesforce, Contributed to building a scalable ERM platform, created live dashboards, authored onboarding documentation.
- 4. Coding Instructor: May 2020 - July 2020, CampK12, Curated and delivered courses introducing school children to programming.
Education
- 1. Master's Degree: September 2022 - May 2024, Courant Institute of Mathematical Sciences (New York University), Computer Science, GPA 3.93/4, Relevant Courses: Operating Systems, Programming Languages, Deep Learning Systems, Big Data.
- 2. Bachelor's Degree: August 2018 - May 2022, BITS Pilani Hyderabad Campus, Computer Science (Minor in Data Science), CGPA 9.04/10, Relevant Courses: Object Oriented Programming, Database Systems, Data Structures and Algorithms, Machine Learning. Clubs and Departments: Debate Society, Music Club, Journal Club, MUN Society.
Background
- A data engineer with a keen interest in Machine and Deep Learning applications, including Computer Vision, NLP, Multi-Modal Learning, Predictive Analytics, and LLM-based workflows. Enjoys working on development projects in free time and has experience with the MERN stack. Outside of academics, enjoys playing the piano (Trinity College certified), debating, and baking.
Miscellany
- Personal interests include playing the piano (Trinity College certified), debating, and baking.
