About Me

Profile

Who I Am

I’m an Honors Computer Science student at UTA focused on building scalable, production-ready systems. My work spans cloud-native architecture, distributed workflows, and AI-powered applications.

I enjoy solving complex engineering problems — designing reliable backends, optimizing performance, and integrating intelligent systems into real-world software. I care deeply about building systems that are efficient, resilient, and built to scale.

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Technical 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.

Budget Buddy
Budget Buddy

Budget Buddy is a web application that allows users to manage their budget and track their expenses.

Technologies: ASP.NET, C#, PostgreSQL, Next.js, Tailwind CSS, Typescript, Clerk, Railway, Render, AWS Textract, AWS S3

Github →Website
ETL Pipeline
ETL Pipeline

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

Github →Devpost
HealthIntelligence
HealthIntelligence

A comprehensive health data analysis and visualization platform that provides personalized health risk assessments, community health insights, and AI-powered health recommendations.

Technologies: Cloudflare, Python, React, Gemini

Github →Devpost
MoodSong
MoodSong

MoodSong is a mobile sanctuary designed to help users calm their nervous system and find emotional balance through sound.

Technologies: Next.js, Tailwind CSS, Typescript, React Native, Expo

Github →Devpost
Stock Recording System
Stock Recording System

Stock Recording System is a android app that allows users to record their stock and get insights about the stock.

Technologies: Android, Kotlin, SQLite

Github →
AudioInsights
AudioInsights

AudioInsights is a web application that allows users to upload audio files and get insights about the audio that includes live transcription, translation, and summary.

Technologies: Streamlit, Groq, Pinecone, Python, Render

Github →Devpost
Load-N-Ask
Load-N-Ask

Effortlessly tackle lengthy reports with our web app! Upload a data file, and our application can answer your queries. Save time, master content in seconds!

Technologies: Streamlit, Langchain, FAISS

Github →Devpost
Intelli-fridge
Intelli-fridge

Developed a full-stack web app using React Native. Utilized Railway for hosting, Roboflow for data labeling, and AWS SageMaker for AI model training with 1000+ datasets.

Technologies: React Native, Respell, AWS, Roboflow, SageMaker

Github →Devpost

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.