Developed and optimized Retrieval Augmented Generation (RAG) systems and reranking models for Atlas, an AI-powered study assistant serving thousands of students. Built sophisticated document retrieval pipelines that improve the accuracy and relevance of AI-generated study materials by intelligently ranking and selecting contextual information from vast educational databases.
BU
Student
Belmont University
August 2023 - May 2024
Completed foundational coursework in computer science, building a strong academic foundation in programming, algorithms, and software development principles.
IUI
Computer Science Student
Indiana University Indianapolis
January 2025 - May 2027 (Expected)
Currently pursuing a Bachelor's degree in Artificial Intelligence. Expected graduation: May 2027.
About Me
I'm a passionate computer science student and AI engineer with hands-on experience in developing intelligent systems that make a real impact. During my internship at Atlas, I specialized in building Retrieval Augmented Generation (RAG) systems and reranking models that enhance the accuracy of AI responses for thousands of students. My work involved creating document retrieval pipelines and optimizing information ranking algorithms to deliver more contextually relevant content.
In my free time, I dive deep into the world of large language model fine-tuning, experimenting with various techniques to adapt pre-trained models for specific tasks and domains. This hands-on experience with model customization complements my formal education at Indiana University Indianapolis, where I'm focused on expanding my expertise in machine learning, software engineering, and AI development. I believe in the power of technology to solve complex problems and am always eager to take on new challenges that push the boundaries of what's possible with AI.
Retrieval Augmented Generation
LLM Fine-tuning
Reranking Models
Machine Learning
Python Programming
AI Model Optimization
Portfolio
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RAG Systems Development
Built advanced Retrieval Augmented Generation systems at Atlas, implementing sophisticated document retrieval and reranking models to improve AI response accuracy for educational content.
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LLM Fine-tuning Projects
Personal projects involving fine-tuning large language models for specific domains and tasks, experimenting with various training techniques and optimization strategies.
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AI Model Optimization
Developed reranking algorithms and information retrieval systems that enhance the performance of AI-powered educational tools, focusing on accuracy and computational efficiency.
