About Me
Who I Am
I'm a passionate Full Stack Developer with expertise in building modern web applications. With a strong foundation in both frontend and backend technologies, I create seamless, user-friendly experiences that solve real-world problems.
My journey in software development began 5 years ago, and since then, I've worked on various projects ranging from e-commerce platforms to data visualization tools. I'm constantly learning and adapting to new technologies to stay at the forefront of web development.
Download ResumeTechnical Skills
My expertise spans software development, artificial intelligence, data engineering, and cloud computing—crafted through hands-on projects and real-world experience.
Programming Languages
- C
- C++
- C#
- Java
- Python
- JavaScript
- HTML/CSS
- MySQL
Frameworks
- React.js
- Node.js
- Express.js
- React Native
- Next.js
- Tailwind CSS
Machine Learning & AI
- PyTorch
- TensorFlow
- scikit-learn
- Hugging Face
- OpenAI API
- Pinecone
Data Engineering
- Apache Airflow
- Spark
- Ray
- FAISS
- Data Processing
Cloud & Database
- AWS (EC2, S3, SageMaker)
- MongoDB Atlas
- MySQL
- PostgreSQL
- Firebase
- Vercel
- Railway
Developer Tools
- Git
- Docker
- Kubernetes
- FastAPI
- CI/CD
- RESTful APIs
My Projects
Here are some of the key projects I've worked on, showcasing my technical skills and problem-solving abilities across web, mobile, and AI/ML domains.
developed a complete data-to-insight pipeline for Homelessness in California dataset that integrated fragmented public datasets, identified vulnerable populations, and revealed county-level disparities in healthcare access and system performance.
Technologies: Python, Pandas, Matplotlib, Seaborn, Scikit-learn, XGBoost
Stock Recording System is a android app that allows users to record their stock and get insights about the stock.
Technologies: Android, Kotlin, SQLite
Timeline of my College Life
I've been a student at UTA for the past 3 years. Here's a timeline of my journey.
2023
2023
Started my College Journey at The University of Texas at Arlington
HackUTA Hackathon Winner
Built a project incorporating OpenAI with Streamlit to simplify complex document understanding and extract valuable insights. Implemented document chunking and semantic search with FAISS.
Hack AI Hackathon Winner
Developed a full-stack application using React Native that helps users minimize food waste by suggesting recipes based on available ingredients and providing shopping lists for missing items.
Utilized Railway for hosting, Roboflow for data labeling, and AWS SageMaker for AI model training with 1000+ datasets.
"We built an app that helps users minimize food waste by suggesting recipes based on ingredients they have at home and providing a shopping list for missing ingredients. The app also tracks food inventory and expiration dates to help users save money and reduce environmental impact."
2024
2024
PLTL Leader at UT Arlington
Leading a team of 12 students in Calculus-I, providing guidance for enhanced academic performance. Facilitating group discussions, problem-solving sessions, and exam reviews.
SWE Fellow at Headstarter AI
Collaborated with a team on various projects, enhancing problem-solving and teamwork skills. Developed a full-stack pantry management app using Next.js, React, Firebase and Vercel.
Audio-insights Project
Engineered a dynamic full-stack web app using Streamlit for advanced audio data processing. Integrated Pinecone for vector embeddings and leveraged Groq for Whisper model access, paired with OpenAI for text summarization.
2025
2025
Budget Buddy Project
Crafted a sleek finance tracker web app empowering users to effortlessly manage budgets, track expenses, and gain actionable insights. Leveraged Tailwind CSS and TypeScript to deliver a visually appealing and intuitive user experience.
Advanced Professional Experience
Continued building technical expertise in Cloud & Database technologies including AWS (EC2, S3, SageMaker), MongoDB Atlas, and MySQL. Expanded knowledge in Machine Learning & AI frameworks including PyTorch, TensorFlow, scikit-learn, and Hugging Face.
Hackday Hackathon Winner
Developed a full-stack web application using React and Node.js to help users track their carbon footprint and suggest ways to reduce it. Integrated with various APIs to provide real-time data and insights.
UTA Datathon Winner
🥇 1st Place – “Safe Haven” Challenge @ UTA Datathon '25! Still feels surreal — our team secured 1st place in the Safe Haven category, where we addressed one of the most pressing real-world issues: homelessness in California.
🧠 Over 24 hours, we developed a complete data-to-insight pipeline that integrated fragmented public datasets, identified vulnerable populations, and revealed county-level disparities in healthcare access and system performance.
🚀 What we built: A scalable and interpretable data science solution that: Unified and cleaned multiple state datasets Explored trends by age, race, and gender Clustered counties by shared vulnerabilities Modeled and forecasted homelessness indicators for 2024 Proposed data-backed recommendations for targeted funding
2026
2026
Graduating from The University of Texas at Arlington
Honors Bachelor of Science in Computer Science with a Minor in Mathematics.
Career Launch
Leveraging strong foundation in programming languages (C, C++, C#, Java, Python, JavaScript) and frameworks (React.js, Node.js, Express.js). Applying expert knowledge in development tools including Git, Docker, and Kubernetes.
Get In Touch
Have a question or want to collaborate on a project? Feel free to reach out through the form below or via my contact information.