Nina Boord

Student at Stanford University · nboord@stanford.edu

Hi, I’m Nina—a Stanford Computer Science student who loves building everything from software to organizations. I'm currently working as a Software Engineering Intern at Nuro with the simulation and ML teams. Here, you’ll find my software engineering and product management internships, published AI research, leadership in nonprofits, and academic achievements. I’m always looking for new opportunities to learn and grow.

Software Engineering

Experience & Publications



Nuro

Software Engineering Intern

Autonomy simulation and machine learning research teams.

Skills: Python, C++, Deep Learning, Generative Models
June 2024 - September 2024 | 3 months


Bearing.ai

Software Engineering Intern | Project Page

Built data pipeline for live visual analysis of every maritime cargo ship on the ocean.

Skills: Python, SQL, AWS Lambda
June 2023 - September 2023 | 3 months


Stanford Intelligent Systems Laboratory

Published Researcher | Publication

Author of the SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning, published in July 2023 by the IEEE Intelligent Transportation Systems Conference (ITSC). SAVME finds a way to uncover more autonomous vehicle failures by finding the break-even point between simulator fidelity and number of possible simulations.

Skills: Python, Simian (Applied Intuition)
January 2023 - July 2023 | 6 months





Projects

📱 Patient Intake Form App

Swift, SwiftUI | Code
Integrates with Apple Health patient records to pre-populate required information for a doctor appointment. Uilizes LLMs to inquire about patient chief complaint and collect information for doctor. Utilizes new HL7 FHIR standard for health data exchange.
2024

🧑🏽‍⚕️ Local LLM Architecture For Patient Medical Record Querying

Python | Code
Fine-tuned LLM for querying and understanding large personal medical records. Engineered advanced architecture for querying huge ampunts of data with a restricted token limit. Local storage insures scalabilty (low cost) and data privacy.
2024

🏆 Modified Thompson Sampling

Python | Code
The Thompson Algorithm is the current "best" algorithm for the multi-armed bandit problem, but this is an area of ongoing research. My algorithm\ preformed more optimally than the Thompson Algorithm in all simulations. I received a distinction for this project from Professor Chris Piech in class of 300+ projects.
2022

🚗 Autonomous Vehicle Particle Filter

Python | Code
Implementation of a particle filter, a model for noisy and stochastic processes. For this project, I demonstrate the use of a particle filter for determining the moment when a semi-autonomous vehicle should transfer control to the driver to avoid a collision.
2023

💡 Neural Net Startup Predictor

Python | Code
Predicts whether a startup will be successful or not based on a list of features. Compares methods of logistic regression againt various neural networks with varying width and number of layers.
2023

🔥 ML Wildfire Threat Prediction

Python | Code
Linear regression, logistic regression, LASSO, and random forests to predict areas of high wildfire risk with up to 99% accuracy. Coded logistic regression from scratch (no ML libraries).
2023

🚀 Rocketberry Pi

C | Code
Programmed an original game reminiscent of "space invaders" from scratch on bare metal (Raspberry Pi) using my own graphics, memory allocator, and interrupts libraries. The game has exemplary graphics and performance and uses an accelerometer-enabled external controller to move a rocket ship and buttons to shoot lasers.
2023

⧟ Baysian Network Predictor

Python | Code
In this project, I find the Baysian network that best fits a set of data. The algorithm is tested on a small, medium, and large dataset and the fitness of the graph is determined by the Bayesian score. The output is the optimal bayesian network (via networkX) using a scoring algorithm and K2 search.
2023

🧠 Q-Learning

Python | Code
Implementation of Q-Learning, a reinforcement learning method that finds the best action we can take given our state to obtain a maximal reward.
2023

✅ Wordle Solver

C++ | Code
Takes in a Wordle board (popular NY Times word game) and returns all possible words in the English language that can solve the Wordle.
2022

✨ This Personal Website

HTML, CSS, JavaScript | Code
I made this website on a student budget (i.e. for free) by personalizing a Bootstrap HTML/CSS/JavaScript template with my own code and hosting on GitHub.
2021





Skills

Languages
  • Python
  • C++
  • C
  • HTML & CSS


Theory
  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Natural Language Processing
  • Large Language Models
  • Algorithm Design

Product Development



ShareHealth.ai

Co-Founder, CTO

Conducted 30+ user interviews. Acted as technical product manager for customer-facing app that allows user to organize, query, and manage their family's healthcare data. Prototyped several products, integrated user feedback. Team: ex-Epic ex-Google ex-Blackrock GSB & Stanford Engineering

Skills: Python, Swift, SwiftUI, Product Management, UI/UX
January 2023 - April 2023 | 4 months


Kargo

Product Management Intern

Managed various contractors to design Kargo’s first demo analytics dashboard, integrating customer feedback, company needs, and my own design. Used in 20+ successful sales calls. Sourced a talented ex-Google/Meta SWE who was hired to the team as Head of Software.

Skills: Product Management, Talent Sourcing
January 2021 - March 2021 | 3 months


bundlar

Product Management Intern

Appointed to manage team of 14 interns and led UI/UX feedback and product development on the AR experience creation platform.

Skills: UI/UX, Team Leadership
June 2019 - September 2019 | 3 months

Leadership



Stanford Women In Tech Entrepreneurship (SWITE)

Founder and Co-President

160+ members, 25+ events. Partnered with Stanford Technology Ventures Program (STVP) and hosted VCs, founders, and executives from firms such as Google, YC, Bessemer, General Catalyst, Pear, and more.

2022 - Present


The Junior Economic Club

President, National Board Director

Founded the National Junior Economic Club. Expanded JEC to New York, San Francisco, Nashville, Atlanta, Dubai, Istanbul, and Berlin. Initiated partnerships with Magnetar Capital and the Zell Family Foundation, adding up to nearly 100k in funding for the national organization. 10 U.S. cities, 7 world cities, 1500+ members & alumni and counting.


2019 - 2020


Stanford Department of Management Science & Engineering

Teaching Assistant, Principled Entrepreneurial Decisions (ENGR 248)

Teaching assistant for the awarded "best undergraduate engineering class" according to student ratings. Taught by Jack Fuchs, Founder of Blackhorn Ventures & Scott Sandel, CEO of NEA. Responsible for creating the capstone assignment, leading workshops, grading, writing cases, and coordinating speakers such as Vlad Tenev (CEO of Robinhood), Parag Agrawal (Former CEO of Twitter), Aaron Levie (CEO of Box), Michelle Zatlyn (Co-Founder of Cloudflare) and many more.


2019 - 2020

Teen Insider Magazine

Co-Founder and CEO

Started an online magazine for teens and by teens. 3000+ Readers from 85 countries. 15 writers from across the nation & world. 13,000+ Instagram followers. I discontinued the business upon graduating high school, but it was an awesome first entrepreneurial endeavor.

2017-2020

Academics



Stanford University

Bachelor of Computer Science, Artificial Intelligence Track | Class of 2025
GPA: 3.7+
Clubs and Societies: Stanford Women in Tech Entrepreneurship (Founder and President), Teaching Assistant for Principled Entrepreneurial Decisions (ENGR 148/248), Stanford Women in Computer Science, Club Swim, Alpha Phi Sorority
Completed Coursework in Engineering
  • CS 221 - Artificial Intelligence: Principles and Techniques
  • CS 224N - Natural Language Processing With Deep Learning
  • CS 238 - Decision Making Under Uncertainty With Reinforcement Learning
  • CS 199 - Independent Project in Machine Learning
  • CS 199 - Building For Digital Health
  • CS 161 - Design and Analysis of Algorithms
  • CS 107E - Computer Systems From The Ground Up
  • CS 106A - Programming Methodologies
  • CS 106B - Programming Abstractions
  • CS 103 - Mathematical Foundations of Computing
  • CS 109 - Probability for Computer Scientists
  • CS 269i - Algorithmic Design for Human Incentives
  • MATH 51 - Multivariable Calculus & Linear Algebra
  • ENGR 108 - Applied Matrix Methods
  • ENGR40M - Intro Electrical Engineering
  • PHYSICS 14N - Quantum Information


Study Abroad
  • Engineering, Technology, and Business in India

    • During this two week program, we toured India's premier universities and corporations, including thepr Indian Institute of Technology (IIT) Delhi, Bombay, Madras, and Tirupati as well as companies such as Tata, Infosys, Wadhwani AI, and Air India. We learned about how both research and business in India differs from the United States, meeting with a variety of students, faculty, and executives. In addition, we visited a number of cultural sites and participated in cultural activities such as Kalamkari painting, Bollywood dance, and Kalaripayattu.