Currently an Extern @Breaking Games·🟢 Open to work
I'm a junior Computer Science student focused on building AI solutions and enhancing my professional skills to excel in the tech industry.
Explore my work, including AI projects and data analytics externships, showcasing my skills in tech and problem-solving.
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Pfizer · Jul 2026 · ✅ Verified by Extern
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
Built an end-to-end RAG system using FAISS vector search and an open-source LLM to answer questions over pharmaceutical documents. Implemented custom chunking and embedding strategies to improve retrieval accuracy
I'm a junior Computer Science student focused on building AI solutions and enhancing my professional skills to excel in the tech industry.
I am a junior at Jacksonville State University pursuing a Bachelor's degree in Computer Science. With a passion for technology and innovation, I'm eager to enhance my skills and build a competitive resume to launch my career.
Externships
SQL & Database Architecture Externship with Breaking Games
Breaking Games
Experience
Resident Assistant, Crow Hall
Jacksonville State University · Jul 2025 – Present
Peer Mentor (Remote)
CodePath · Aug 2025 – Dec 2025
Digital Marketing Officer
Skilltootr · Feb 2023 – Jul 2023
Education
Jacksonville State University
B.S. Computer Science; Minor: Mathematics. · Class of 2027
Skills
✅ Verified by Extern
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
The work built an end-to-end document intelligence pipeline for pharmaceutical SDFs, combining text extraction, OCR, layout-aware processing, retrieval, and a user-facing chatbot. Deliverables included Colab notebooks, OCR comparisons, RAG retrieval configs, a Gradio Q&A demo, and test results reporting accuracy and latency.
I produced a functioning end-to-end prototype that extracted and classified pages, compared OCR engines, implemented RAG retrieval with chunking and hybrid search, and deployed a local Gradio chatbot, with documented test metrics and demo artifacts.
Built an end-to-end RAG system using FAISS vector search and an open-source LLM to answer questions over pharmaceutical documents. Implemented custom chunking and embedding strategies to improve retrieval accuracy
Built a mental health platform at the Nepal-US hackathon with dual intake paths for families and individuals in collectivist cultures. Developed the frontend using React 19, TypeScript, and Tailwind v4, and integrated Google Gemini 2.0 Flash for AI-powered conversations
Engineered a full-stack predictive analytics platform using React and Flask to identify at-risk students by analyzing LMS engagement metrics. Developed a Random Forest machine learning pipeline to categorize risk levels and isolate specific academic performance gaps. Integrated the GPT-4o API to dynamically generate personalized intervention emails, streamlining advisor workflows
Collaborated on a robotics team to synchronize robot-drone interactions for autonomous challenge tasks, coordinating hardware integration and software debugging under strict competition deadlines
Designed a scalable web application that gamifies physical rehabilitation using motion-based challenges. Built a data pipeline to track user accuracy and reaction time, visualizing analytics with Chart.js
