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.