Improving device failure analysis by leveraging data science techniques and tools like H2O.ai, OpenAI API, and other Generative AI technologies, leading to more accurate identification of root causes and enhanced reliability of Cisco hardware.
Optimizing query processing in large-scale databases by leveraging advanced machine learning algorithms
Developing LLM-based model for query prediction and data retrieval
Implemented various models (including Classifier-Adjusted Density Estimation, Autoencoder, Isolation Forest) to detect fraud score anomalies in transaction data from major banks in the US, UK, Canada, India, and Brazil.
Automated analysis process by analyzing and clustering device failure data with H2O.ai and Python, significantly reducing troubleshooting time and operational costs.
Automated GTM workflows for Ansible Tower through full-stack development, streamlining workflows.
On intern team tasked with saving $24M/year by launching discounting feature rather than third parties (presented to CIO).
Led intern license plate recognition software implementation and development of pip package for company API.
R&D of iOS/Android apps that enable engagement between an ML platform, patients, and physicians.
Developed I2C communication code; designed and soldered circuits (i.e. IMU).
As a high school intern, I researched tensile strength of ABS ASTM D638 3D printed and injection molded samples.
Machine Learning and Data Science M.S.
Electrical Engineering B.S.
University of Cambridge
Jun 2025
Won the vLex challenge at Hack the Law @ Cambridge
Manufacturing Leadership Council
Jun 2025
Our project at Cisco, Agentic Virtual FA, was a finalist for the Manufacturing Leadership Award
Cisco
Jun 2025
Awarded to my team for the Virtual FA project (Agentic Virtual Failure Analysis)
UCLA
Apr 2025
Won award (DAIN Track) in LA Hacks out of 172 teams (750 participants)
Stanford Law School
Apr 2025
Won DWT challenge in Stanford Law School x LLM Hackathon (selected out of 48 teams)
HARD Hack | IEEE UC San Diego
Feb 2025
Won first place in the Advanced Category for developing a smart trash sorter
LPL Financial
Jan 2025
Winner of "Most Viable Solution" category in competition with over 40 teams
ACE Mentor San Diego
May 2024
Merit-based scholarship (received in 2019, 2020, 2023, 2024)
HARD Hack | IEEE UC San Diego
Apr 2023
2nd place in UCSD hardware hackathon (selected out of 23 teams)
LateNightHacks
May 2022
Won Domain.com prize for LateNightHacks 2022
SD Hacks
Apr 2022
Winner of UCSD hackathon's Civic Engagement category (selected out of 30 teams)
UCSD Extended Studies
Jul 2020
Article written about me in the UCSD Extended Studies Newsletter