🟢 Open to work
I'm a junior at UTA, focused on Software Engineering and excited to create innovative tech solutions.
Explore my portfolio featuring innovative projects, including AI-driven solutions and document automation with Pfizer.
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Pfizer · ✅ Verified by Extern · ⏱️ In progress
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
Implemented and tested NestJS REST API functionality with MongoDB/Mongoose, DTO validation, consistent error handling, and reusable controller-service architecture; wrote Jest unit tests for backend services including mocked Mongoose operations; used Postman and local admin/public clients to verify API contracts; collaborated through GitHub pull requests, code reviews, rebasing, CI checks, and merge-conflict resolution.
Built a React-based application with a Node.js/NestJS and MongoDB backend for creating, updating, deleting, and tracking internship applications and statuses; debugged frontend-backend integration issues and aligned schemas and UI behavior across the stack.
Developed a responsive React frontend and NestJS/MongoDB backend for appointment scheduling and patient record management; implemented authentication using JWT tokens and bcrypt password hashing and organized backend logic using NestJS modules, controllers, and services.
I'm a junior at UTA, focused on Software Engineering and excited to create innovative tech solutions.
I'm a junior Software Engineering student at the University of Texas Arlington, eager to kickstart my career. I'm passionate about leveraging technology to solve real-world problems, particularly through AI and automation.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
Pfizer
Experience
Backend Developer
VetRanker — Veterinary Ranking Platform · 2025 - Present
Software Engineering Coursework — University of Texas at Arlington
University of Texas at Arlington · 2024 - Present
Personal Project
Full-Stack Internship Tracker · 2026
Full-Stack Developer
Doctor Appointment Booking Web Application · 2025
Education
The University of Texas at Arlington
B.S. in Software Engineering · Class of 2028
Skills
✅ Verified by Extern · ⏱️ In progress
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 project prototyped AI approaches for reading pharmaceutical documents using OCR, computer vision, and large language models. Work documented how tokenization, transformer self-attention, and next-token prediction enable text understanding, and it explained pretraining plus fine-tuning with human feedback and reinforcement learning.
I produced a technical explanation of how LLMs process pharmaceutical text, detailing tokenization, transformer self-attention, next-token prediction, and the roles of pretraining, fine-tuning with human feedback, and reinforcement learning.
I explained how LLMs tokenized text, used transformer self-attention to model long-range relationships, and generated next-token predictions. I described pretraining on large corpora and subsequent fine-tuning with human feedback and reinforcement learning.
Implemented and tested NestJS REST API functionality with MongoDB/Mongoose, DTO validation, consistent error handling, and reusable controller-service architecture; wrote Jest unit tests for backend services including mocked Mongoose operations; used Postman and local admin/public clients to verify API contracts; collaborated through GitHub pull requests, code reviews, rebasing, CI checks, and merge-conflict resolution.
Built a React-based application with a Node.js/NestJS and MongoDB backend for creating, updating, deleting, and tracking internship applications and statuses; debugged frontend-backend integration issues and aligned schemas and UI behavior across the stack.
Developed a responsive React frontend and NestJS/MongoDB backend for appointment scheduling and patient record management; implemented authentication using JWT tokens and bcrypt password hashing and organized backend logic using NestJS modules, controllers, and services.