CV

Education

• M.S. in Electrical Engineering (Intelligent Systems, Robotics, and Controls), University of California - San Diego, 2024
• B.S. in Electrical Engineering (Machine Learning and Controls), University of California - San Diego, 2023

Work experience

• NASA - Machine Learning Intern (June 2024 - August 2024)
  • Developed an advanced data retrieval and analysis system for CMIP 6, handling over 30PB of climate data.
  • Innovated an efficient parsing method to filter relevant datasets from a pool of over 13.6 million entries based on user queries.
  • Integrated LangChain and OpenAI infrastructure to create a dynamic analysis engine, tailored to user-specific dataset inquiries.
  • Submitted the project for presentation at the American Geophysical Union (AGU) 2024, the largest Earth and Space Science conference.
  • Designed a custom Streamlit-based UI to facilitate a conversational and intuitive user experience for data analysis tasks.
• RoboCoach - Machine Learning Intern (May 2023 - May 2024)
  • Designed and implemented an open-source project that automatically generates code based on natural language conversation in Python.
  • Integrated LangChain and OpenAI APIs to prompt multiple LLMs to implement the code generation mechanism in the application.
  • Developed custom prompts to maximize the quality of model output and utilized regular expressions to extract code from plain text.
  • Created a logging pipeline for recording user-model interactions for performance evaluation.
  • Streamlined user experience by developing a web-based user interface that resembles a chat bot with Streamlit.
• Amazon Robotic - System Architecture Co-Op (July 2022 - September 2022)
  • Designed test plans to gradually increase the complexity of tasks to match exit criteria for Proteus (Amazon’s first autonomous robot).
  • Wrote a series of Python scripts that utilized MySQL queries for an AWS database to automatically extract real-time data during testing.
  • Created a document to log all configurations during the testing of Proteus including SW, FW, HW, success rate, and map layout.
  • Initiated a cross-functional collaboration between the onboard SW team and data team to validate metrics and automate logging.
• Takeda - Reliability Intern (June 2021 - September 2021)
  • Served as the primary liaison between Takeda and the vendor for transitioning the facility from preventive to predictive maintenance.
  • Scheduled sensor installation, coordinating between the vendor and manufacturing teams to minimize production disruption.
  • Collaborated with departments to secure necessary approvals for temporary shutdowns, enabling smooth sensor deployment.
  • Contributed to a proposal for expanding predictive maintenance, securing funding for additional sensor installations in another building.
  • Highlighted operational redundancies to stakeholders, demonstrating the facility’s ability to maintain production during sensor installation and potential equipment failures.
  • Performed a comprehensive cost analysis, clearly outlining the financial and operational benefits of adopting predictive maintenance practices.
• SpaceX - Technician (July 2020 - October 2020)
  • Developed and optimized the manufacturing process of solenoid valves to accelerate production and increase quality.
  • Increased production volume by 114% (from 70 to 150 valves/day).
  • Introduced two new steps in the assembly process to decrease assembly time (grease plating/poppet).
  • Root caused two major waves of valve failures that led to approximately 60 valves failing per day (swage tool/retainer cap/poppet).
  • Generated a step-by-step corrective action document for technicians to rectify production losses due to test failures.

Skills

• Robot Operating System (ROS)
• JAX
• Machine Learning
  • Statistical Models and Analysis
  • PyTorch
• C++
• Python
• Prompt Engineering
• Planning
• Mapping
• Localization

Relevant Courses

• CSE 298 - Independent Study (Analyzing LLMs for NER)
• CSE 258R - Recommender Systems & Web Mining
• CSE 250A - Probabilistic Reasoning & Learning
• ECE 285 - Special Topics/Signal & Image/Robotic: Intro to Visual Learning
• ECE 276B - Planning & Learning in Robotics
• ECE 276A - Sensing & Estimation in Robotics
• ECE 272A - Stochastic Processes & Dynamic Systems I
• ECE 271A - Statistical Learning I
• ECE 269 - Linear Algebra and Application
• ECE 180 - Topics in ECE: Autonomous Driving in Real World
• ECE 176 - Intro to Deep Learning & Applications
• ECE 175B - Probabilistic Reasoning & Graphical Models
• ECE 175A - Pattern Recognition and Machine Learning
• ECE 174 - Intro/Linear & Nonlinear Optimization
• ECE 171A - Linear Control System Theory
• ECE 143 - Programming for Data Analysis