Featured Work

A selection of projects focusing on AI integration, full-stack development, and user-centric design.

ActuallyFair

Software Development Intern
View Site

Worked as a software development intern focused on full-stack development and AI automation. Built production API workflows, shipped React UI from Figma designs, and developed AI services around chat, document parsing, and content automation.

Key Work:

  • Built RESTful API endpoints and Node.js microservices
  • Developed AI chatbot and document parsing services
  • Automated UGC workflows using n8n
  • Converted Figma designs into responsive React features
Node.jsReactOpenAIMistraln8nREST APIsFigma

Quizzora

Full Stack AI Platform
Live Demo Repository

A comprehensive, AI-powered quiz platform developed to streamline assessment creation. Leveraging OpenAI's GPT-4o-mini, it allows users to instantly generate complex quizzes from simple text prompts. Features include a robust manual editor, secure Supabase Authentication (Email/Password & OAuth), and a dynamic player interface with real-time scoring.

Key Technical Features:

  • AI-driven content generation with OpenAI API
  • Real-time leaderboards and analytics
  • Secure role-based authentication
  • Interactive Framer Motion animations
Next.js 14TypeScriptReactSupabasePostgreSQLOpenAI APITailwind CSSShadcn UIFramer MotionVercel

Dexterity UI

Component Library
Live Demo Repository

A modern, accessible UI component library built with React and Tailwind CSS. Dexterity UI provides a comprehensive collection of pre-built components designed to accelerate development workflows. Features seamless integration with TypeScript, extensive customization options, and production-ready components for building responsive web applications.

Key Technical Features:

  • Accessible React components
  • Tailwind CSS integration
  • TypeScript support
  • Responsive design system
ReactTypeScriptTailwind CSSComponent LibraryResponsive DesignAccessibility

Sports YOLO

Computer Vision

A computer vision project that trains a custom YOLO model to classify sports from images and live webcam streams. The workflow covers dataset preprocessing, model training, evaluation, export, and an SVM classifier layered over YOLO features to improve category accuracy.

Key Technical Features:

  • Custom YOLO model for sports classification
  • Image and live webcam inference
  • Colab-based training and evaluation workflow
  • SVM classifier over YOLO feature outputs
PythonUltralytics YOLOGoogle ColabComputer VisionSVMModel Training

Experience & Archive