Work Experience
My professional and academic experience in machine learning systems, data analysis, and teaching.
April 2026 - Present
AI/ML Engineer
American Express • Phoenix, Arizona
Labs team working on utilizing LLMs to improve banking applications
- Working on new ways to introduce agentic pipelines in banking and credit card related applications.
- Performing Data Science and Data Engineering utilizing Google Cloud Platform.
August 2023 - February 2026
Graduate Student Researcher
Arizona State University (MPS Lab)
Research under the guidance of Dr. Aviral Shrivastava
- Conducted research on Optimal Parallel Training strategies (Data, Model, and Pipeline parallelism) for ML workloads as part of my Master's Thesis.
- Assisted in research on Quantum Computing execution on NISQ devices.
- Participated in competitive systems challenges, including the TinyML competition and the Waymo Dataset Challenge.
- Reviewed papers and researched performance optimizations for ML Accelerators.
August 2023 - May 2025
Computer Architecture GSA
Arizona State University
Graduate Student Assistant for CSE 420 and CSE 520 Computer Architecture courses
- Assisted under the guidance of Dr. Aviral Shrivastava and Dr. Hokeun Kim.
- Responsible for grading student examinations, code, and project assignments.
- Co-created coursework content, exam formats, and practice problems.
- Delivered targeted lectures on specialized topics and held revision classes for student groups.
August 2023 - May 2025
Teaching Assistant for BIO194
Arizona State University
Academic Associate for the BIO194 SOLUR Prep Course
- Created course content, programming worksheets, and assignments under the guidance of Dr. Susan Holechek.
- Delivered lectures focusing on Data Science methodologies and R programming applied to biological data structures.
- Assisted with assignment corrections and grading final project presentations.
January 2024 - December 2024
Student Researcher
The Holechek Lab
Obesity analysis among the Hispanic community
- Conducted data analysis on sensitive demographic health datasets under the guidance of Dr. Susan Holechek.
- Utilized datasets provided by the All of Us Research Program (funded by the NIH) to identify risk indicators.
October 2021 - July 2022
Research Intern
Indian Urban Data Exchange (IUDX), IISc Bengaluru
Secure Multiparty Machine Learning Computation
- Completed a 10-month research internship at an IISc-based startup under Dr. Abhay Sharma and Dr. Anshoo Tandon.
- Researched multi-party encryption techniques enabling secure, collaborative model training on sensitive distributed datasets.
- Developed system tools in C++ using Boost libraries to implement Secure Multi-Party Computing (SMPC) and Homomorphic Encryption.
- Responsible for risk evaluation, software testing, protocol evaluation, and mathematical proof validation.