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LLM Auto Grader

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XeWe Labs, San Jose | September 2024 - Present



Skills: Python, PyCharm, Web Application Design, Large Language Models, LLM Agents, Multi Agent Systems, Prompt Engineering, Automation
Frameworks: Selenium, Beautifulsoup, OpenAi API, Pandas
Software Dev: Algorithm Design & Implementation, Debugging & Testing, Back End Design, Version Control (Github)
Data Science: Data Collection, Data Processing, Data Pipelines

Designed and developed an AI-driven grading system utilizing Large Language Models (LLMs) to autonomously evaluate student submissions. Integrated with Canvas through Selenium automation. Created modular components to streamline grading processes, enabling precise feedback generation and comprehensive score tracking. Enhanced scalability and efficiency by implementing detailed logging and customizable grading parameters.

GitHub Repository (Private)
WIP ETA May 2025