I'm a Computer Science student at Texas A&M University (Class of 2027) with a strong foundation in software development and AI automation, maintaining a 3.883 GPA. My academic journey spans diverse areas including Linear Algebra, Statistics, Data Structures and Algorithms, Programming Languages, Computer Systems, and Software Engineering, providing me with both theoretical knowledge and practical problem-solving skills. I'm passionate about creating innovative educational technology solutions and building AI-powered applications that solve real-world problems. My experience spans full-stack development, automation engineering, and creating sophisticated multi-agent AI systems using cutting-edge frameworks like Langchain and Agno. I particularly enjoy working with AI/ML technologies including RAG implementations, vector databases, and Model Context Protocol (MCP) systems. Beyond academics, I'm actively involved in the Texas A&M community through organizations like the Aggie Coding Club, Texas A&M Computing Society, Tamusic Club, and KANM Student Radio, where I combine my technical skills with my passion for music and technology. I thrive in collaborative environments and am always eager to take on new challenges that push the boundaries of what's possible with modern technology.
Full-stack online IDE with AI tutoring capabilities featuring secure code execution, multi-agent AI system using Agno framework, and PostgreSQL-backed memory system for persistent learning context
Interactive financial literacy website with dynamic data visualization, web scraping for stock trend articles, and OpenAI integration to simplify financial content while preserving context
Innovative music application functioning as a theremin instrument using hand gestures through camera input, implemented with OpenCV hand tracking and JUCE library for dynamic sine wave generation
AI Automation Engineer Intern, Summer 2025 - Developed automated workflows using n8n, Make.com, and Python. Integrated AI solutions with Langchain and Agno frameworks. Implemented RAG database systems using ChromaDB and Pinecone.
Python, TypeScript, JavaScript, C++, Java, HTML/CSS
React, FastAPI, Agno, E2B, Tailwind, Flask, JUCE, pandas, NumPy, OpenCV, Langchain
MCP (Model Context Protocol), Multi-agent systems, RAG implementations, ChromaDB, Pinecone, Agentic AI
Git, GitHub (collaborative development), VS Code, PyCharm, Spyder, Visual Studio, Supabase, n8n, Make.com
Linear Algebra, Statistics, Discrete Structures, Program Design and Concepts, Data Structures and Algorithms, Programming Languages, Computer Organization, Intro to Computer Systems, Foundations of Software Engineering