• Hi, thank you for visiting!

    I pursued a Master's in Electrical Engineering and Computer Science at UC Berkeley, with a specialization in Signal Processing & Wireless Communication. I was a Graduate Research Assistant at Siemens, where I automated smart building solutions using the Building X cloud platform and open APIs. I hope to make a positive impact on the prominent global communities of engineers, while narrowing the gender gap in tech. In my spare time, you can find me watching new shows, hiking, or making homemade soy candles!

Iced Coffees in 2026
Candles Made
Pet Fish
Tortoises
Education

Education

Aug. 2025 – May 2026

Concentration Area: Signal Processing and Wireless Communication

Activities: Graduate Professional Development Club; Product Design Affinity Group (President)

Honors & Awards: Fung Excellence Merit Scholar Recipient

  • ENGIN 270A: Organizational Behavior and Negotiation
  • ENGIN 270B: R&D Technology Management and Ethics
  • ENGIN 270C: Project Management
  • ENGIN 270D: Entrepreneurship for Engineers
  • ENGIN 270N: Innovation Management
  • ENGIN 295: Communications for Engineering Leaders
  • EE 229A: Information Theory & Coding
  • EECS 290: Advanced Electrical Engineering (Learning Enabled Multi-Agent Systems)
  • CS 260A: User Interface Design & Development
  • CS 288: Advanced Natural Language Processing
  • CS 294: Building User-Centered Programming Tools

Aug. 2022 - Jun. 2025

GPA: 3.97

Activities: Chancellor's Intern; Writing Teaching Assistant; College Scholars Program - Undergraduate Honors; Artificial Intelligence Club, Robotics Club, and Creative Writing Club; UCSC Website Manager

  • BME 3: Biomedical Engineering Solutions for Diabetes
  • I&C SCI 5: Global Disruption & Information Technology
  • ECE 30: Engineering Electronics (Physics)
  • CSE 30: Python Abstractions
  • CSE 12: RISC-V Assembly
  • CSE 13S: Comp Systems & C Programming
  • CSE 16: Discrete Mathematics
  • CSE 101: Data Structures & Algorithms
  • CSE 103: Computational Models
  • CSE 120: Computer Architecture
  • CSE 130: Computer Systems Design
  • STAT 131: Probability Theory
  • CMPM 146: Game AI
  • CSE 160: Computer Graphics
  • CSE 183: Web Applications
  • CSE 185: Technical Writing
  • AM 10: Linear Algebra
  • Calculus I, II, and III
  • A.I Ethics

Aug 2018 - Jun 2022

Activities: Yoga Club, Artificial Intelligence Organization, Literary Magazine

  • AP Physics I and II
  • AP Calculus AB
  • AP Statistics
  • Honors English
  • Honors Chemistry
Work Experience

Work Experience

Graduate Research Assistant @ Siemens Sept 2025 - Present

Developing a carbon-aware energy optimization platform using Siemens Building X, carbon-intensity, and weather APIs to automate real-time load adjustments and balance cost, comfort, and emissions across multi-site facilities.

Cybersecurity Sales Engineering Intern @ Keysight Technologies May 2025 - Aug 2025

Developing an automation framework using Python and REST APIs to configure, deploy, and integrate virtual network monitoring components within a VMware vSphere environment, as well as adapting scripts to transition to KVM/Proxmox. Authoring technical documentation for publication on Keysight support site to assist enterprise customers with deployment and integration.

Software Engineering Intern @ Medtronic June 2024 - Aug 2024

Utilized MATLAB to develop FDA-compliant simulation for Guardian Sensor 4 and Synergy CGMs, simulating runs of calibration patterns. Implemented YAML configuration file and Stateflow logic to optimize and improving accuracy of insulin-delivery algorithms. Interpreted data flow and signal logging within Simulink to create successful unit and functionality tests.

Artificial Intelligence Intern @ SECO May 2023 - October 2023

Embedded 7500+ closed issues from React JS and stored it in a Pinecone Vector Database. Developed an interactive chatbot using Open AI's LLM and Twilio, which responds to user's issues with relevant information on issue frequency, bug classification, and potential debugging solutions—streamlining the user's bug resolution process.

My Work

Projects

Job Application Customizer

AI-powered tool that tailors resumes and cover letters to specific job openings using Claude LLM API.

Python Claude API
demo →

Multi-Agent Lane Merging

MPC-to-PPO pipeline for autonomous highway merging with heterogeneous driver types, achieving 96% merge success in simulation.

Python RL MPC
code →

SlideQA

Multimodal benchmark of 450 QA pairs across NLP lecture slides, with a ColPali retrieval-augmented VLM pipeline.

Python ColPali GPT-4o
code →

Patent Query DSL

Domain-specific language for structured prior-art search over patents, with a FastAPI backend and React frontend.

Python FastAPI React
code →

React Bug Analytics System

AI-powered bug tracking using vector embeddings and semantic similarity to identify related GitHub issues.

Python Embeddings
code →

SilverLink

Voice-first web app connecting older adults with volunteer companions using AI-powered onboarding and smart matching.

React Node.js OpenAI
code →
Read

Writings

A Domain-Specific Language for Prior Art Search in Patent Examination
A DSL for structured prior-art search over patent documents, enabling passage-level queries over section type, content, metadata, and citation anchors.
Adaptive Telemetry Systems for Neonatal Neurodevelopment
ML-driven adaptive telemetry for neonatal EEG monitoring, with 94% sensitivity and 92% specificity in seizure detection.
SlideQA: A Multimodal Benchmark for Lecture Slide QA
A 450-pair multimodal benchmark across NLP lecture slides from Berkeley, Stanford, and Johns Hopkins, testing visual, chart, and layout-aware reasoning.
Multi-Agent Lane Merging via Policy Distillation
MPC-to-PPO distillation for autonomous highway merging with heterogeneous drivers, achieving 96% merge success in simulation.
Spatial-Temporal Robust Watermarking with Pseudo Random Codes
Extends PRC generative watermarking to video, analyzing robustness against frame clipping and dropping, and trade-offs between capacity, imperceptibility, and detectability.
Identifying Needs in Patent Examiner Workflows Through Contextual Inquiry
Contextual inquiry study of patent examiner workflows, surfacing recurring pain points in prior-art search and claim chart construction to inform tool design.