About

I am Floyd Jostin Sequeira, a recent graduate with a B.Tech in Computer Science & Engineering from St Joseph Engineering College, completed in 2025. During my studies, I gained hands-on experience through internships as a Full Stack Developer at Mindstack Technologies and a Software Development Intern at Ukshati Technologies, where I worked on projects involving React.js, Node.js, and AI-powered applications. My strongest skills include Python, Java, SQL, and full-stack development with React.js, Next.js, and NestJS. I am eager to take on my first full-time role as a Full-stack Developer, where I can contribute to building scalable and impactful software solutions.

Experience

1. Full Stack Developer Intern

   Mindstack Technologies

   Dec 2025 – Apr 2026

   Developed UIs for HealthConnect, Maxwealth, ASEAN Connect, and Torus Admin using React.js and Next.js. Built REST APIs and backend services using Node.js, NestJS, and MySQL, with application testing. Integrated frontend components with backend APIs to ensure seamless data flow. Implemented authentication and authorization features for secure user access.

2. Software Development Intern

   Ukshati Technologies Private Limited

   Mar 2025 – May 2025

   Developed responsive user interfaces using React.js with dynamic components and state management. Developed reusable React components to improve code maintainability. Built backend services using Node.js and MySQL, and deployed applications using Docker. Integrated frontend applications with REST APIs for smooth functionality. Worked with Git for version control and collaborative development workflows.

Education

1. St Joseph Engineering College

   Bachelor of Engineering in Computer Science & Engineering

   2021 – 2025 · Grade: 8.74

2. St. Aloysius PU College

   State Board XII (PCMB)

   2019 – 2021 · Grade: 92%

Projects

• AI-Powered Knowledge Chatbot with Real-Time Admin Monitoring

  • HTML5
  • JavaScript
  • React.js
  • Tailwind CSS
  • Node.js
  • Express.js
  • MySQL
  • Socket.IO
  • LLM
  • Groq AI

  Developed an AI-powered knowledge base chatbot using an LLM through Groq AI to answer employee queries using company KB articles. Implemented Admin and Employee dashboards with authentication, role-based access, KB CRUD, and persistent chat sessions.

• Inventory Management System

  • React.js
  • Express.js
  • MySQL
  • Tailwind CSS
  • Postman

  Developed RESTful API features for quote generation, search, and customer management. Implemented search, edit, and PDF view/download features using React.js, Express.js, and MySQL.

• Vehicle Classification and Detection using Neural Networks

  • Python
  • Keras
  • TensorFlow Lite
  • Flutter
  • Dart
  • Supabase
  • YOLO (v9/v11)

  Designed YOLO-based models for real-time vehicle detection across KITTI, UA-DETRAC, and IRUVD datasets. Developed a Flutter application with TensorFlow Lite for real-time emergency and regular vehicle classification.