Head Teaching Assistant for CS 124: From Languages to Information in Winter 2025, taught by Professor Dan Jurafsky. Topics include NLP for extracting meaning from text and social networks on the web, and interacting with people via language. Introducing methods (from regex to large language models, via logistic regression, gradient descent, transformers and other neural networks, social networks, collaborative filtering), applications (chatbots, information retrieval, social computing, recommender systems), and ethical and social issues.

Co-Head TA for CS 145: Introduction to Big Data Systems in Autumn 2024, taught by Professor Shivakumar. Topics include schema design, query optimization, transactions, data science and machine learning projects with SQL, BigQuery, Python. Responsibilities include coordinating across team of 10 course assistants, anticipating and addressing challenges, providing feedback on course material, grading, creating and presenting review material, hosting office hours, and course communication for 170 students.

- Researching AI model cards and risk rubrics for safe AI use in healthcare for the County of Santa Clara, CA - Collaborating with 7 students to produce a policy brief with recommendations for implementation, strategy, and decision-making- Meeting with government partners regularly to iterate on and shape the final product

Through EE205 at Stanford University

Project Kuiper, Payload Network Software Team

Co-Lead for Bridging the Gap: Governance of AI in Practice

- Taught a weekly section for CS106A: Programming Methodologies and CS106B: Programming Abstractions to 12-15 students. Discussed concepts and hands-on problem walkthroughs in Python and C++.- Conducting weekly conceptual and debugging office hours, providing individual assistance to a pool of 1200+ students. - Grading weekly assignments on functionality and style, as well as the midterm and final exam for both classes. - Hosting 1-1 interactive grading sessions with feedback and mentorship for sectionees.- Completed the CS198: Teaching Computer Science course in Fall 2022.

Co-led small group sessions, consisting of discussions and teaching feedback, for first-quarter section leaders in the CS198 program.

Course development for CS125: Data: Algorithms, Tools, Policy, and Society- Taught by Jennifer Widom, Dean of the Stanford University School of Engineering; Mehran Sahami, Chair of the Stanford Unviersity Computer Science Department; Daniel Ho, Professor of Law in the Stanford Law School

Platform Engineering, Unified Technology Group.- Optimized Flow Designer's action creation process by 80% by developing a customer-requested feature for simultaneously creating action inputs and step inputs. - Designed and tested a proof of concept for using LLMs for enhancing Flow Designer.- Initiated and hosted meetings with key stakeholders, including senior engineers, product managers, UI/UX designers, and quality engineers to decide acceptance criteria, identify customer pain points, and create stories for Scrum sprints.- Tested and addressed 6 additional defects regarding engine versions, language translation, and usability.

- Co-led a team of 2 leads and 4 interns and collaborated with 10+ sponsors to host events and share opportunities with the Stanford community.- Events included mentorship programs, tech talks, hands-on workshops, information sessions (300+ attendees) and WiCS's first in-person sponsorship dinner since the pandemic (100+ attendees).

Platform Engineering, Unified Technology Group.- Developed and pushed a complete feature to production for determining and displaying the flows an action is used in - reducing time for customers to find this information by >90% (from minutes to milliseconds), providing workflow details in a concise and comprehensive format, and lowering risk of accidentally breaking automation. - Wrote REST APIs with Java/SQL/GlideRecord queries on backend, including analyzing, testing, and optimizing queries. Used HTML/CSS/JavaScript/React/Redux on the frontend. Ensured feature complied with standards for security and confidentiality. Designed unit/integration tests. - Met with stakeholders and collaborated in a cross-functional team, including product managers, quality engineers, UI/UX designers, and senior engineers, to discuss customer-focused designs and engineering design decisions.- Pushed 5 additional PRs regarding flow logic, WCAG for accessibility, and cohesive UI by incorporating CI/CD and Agile methodologies across 6 Scrum sprints.- Conducted presentation and demo of feature for Platform Engineering team, including 10+ directors and VPs. See feature documentation in the attached link.

Curated dataset with 200+ MIT math problems, using Python, Git, LaTeX. Used to train deep learning models.

Mentors: Dr. Beverly Berger, Dr. Brian LantzFunded by the National Science Foundation (NSF), the LIGO Scientific Collaboration (LSC) is a scientific collaboration of international physics institutes and research groups dedicated to the search for gravitational waves.- Detector characterization and seismic source localization at LIGO Livingston using Python, signal processing, and sensors.- Collaborated with the detector characterization and seismic groups at Stanford University's LIGO group, Ginzton Laboratory, and the University of British Columbia.- Talk at the 14th Edoardo Amaldi International Conference on Gravitational Waves (July 2021), Poster at the LIGO-Virgo-KAGRA meeting (March and July 2021)-Applied computer vision techniques in Python and OpenCV to automate the labor-intensive process of identifying anomalies and changes in gravitational wave data.

-Manage the website for Stanford's largest project-based student organization. -Update and deploy the website with Ruby on Rails and Heroku-Propose novel designs incorporating preferences of 7 subteams. -Co-initiated and executed the migration of the website to Webflow.

- One of the instructors for CS 106S: Coding for Social Good, a companion course to the highly popular CS 106 series at Stanford. - Taught ~40 undergraduates through lectures and interactive problem-solving walkthroughs. Students used Javascript and the Gale-Shapley algorithm to match volunteers and high-risk individuals during COVID-19.

- Calculated the orbit of Asteroid 68950 (2002 QF15) using own observations from 20-inch telescopes, the Method of Gauss in Python, and statistical methods. - Simulated possible outcomes for the asteroid's future orbit over the course of 50 million years based on perturbations. - Wrote 20-page research paper. Original observations were published by the International Astronomical Union Minor Planet Center.Techniques and tools used: astrometry, photometry, SAO DS9, AstroImageJ, Python, NumPy, SciPy, Least Squares Plate Regression, hypothesis testing, Monte Carlo simulations, SwiftVis software, LaTeX.1 of 36 students selected internationally for the intensive residential program sponsored by MIT, Caltech, and Harvey Mudd.