Incoming SDE Intern for Summer 2026

• Contributed to human-in-the-loop data labeling and evaluation pipelines used to train and validate machine learning models

• Performed structured analysis of text, image, and audio inputs, enforcing clear separation between observable signals and inferred assumptions

• Produced high-precision annotations and audio transcriptions, including non-speech event tagging, to improve dataset quality and model robustness

• Built and shipped user profile features using React and TypeScript, implementing full CRUD flows backed by Supabase with auditing and optimistic UI updates

• Delivered changes across multiple production pull requests, collaborating closely with teammates through reviews and iterative feedback

• Set up Prettier and ESLint to standardize code style, reducing low-value review comments and improving team velocity

• Contributed to improving overall frontend reliability and maintainability in a fast-moving startup environment

• Built Python preprocessing pipelines for text and image datasets, reducing dataset preparation and retraining time.

• Supported machine learning workflows by improving data quality and repeatability for model training.

• Tuned RESTful APIs powering AI features to improve response time and reliability.

• Collaborated with engineers and product stakeholders to ship features and fixes on a regular cadence.