Julie Anne User

Worked on AI training and evaluation projects involving text, audio, and multilingual data.
Reviewed and corrected content to improve accuracy and consistency for machine learning models. Followed detailed annotation guidelines and quality standards while handling large volumes of data.

I worked on a range of AI data projects where I reviewed, corrected, and validated content used for training models. This included text-based tasks like proofreading and multilingual checks, as well as audio recording tasks that required clear delivery and following specific guidelines. I focused on maintaining quality, consistency, and accuracy across different types of data.

Developed browser-based tools for audio and video editing in a SaaS platform. Contributed to FastAPI/Python backend workflows with MongoDB and REST APIs, and worked on AI-powered features such as transcription, translation, audio enhancement, and voice isolation.

The project consists of controlling a radio-controlled car with the help of Arduino which should be able to drive by itself with the help of various sensors using C/C++ and Python

- Reviewed and improved AI model responses, coding outputs, and
training data.
- Worked with multilingual QA, annotation, transcription review, and
content evaluation.
- Followed detailed quality guidelines to improve accuracy and
consistency

Fullstack Developer program at The Media Institute from 2024 to 2026.

Embedded Software Development program at Movant University of Applied Science from 2022 to 2024.