Actively Seeking Job Opportunities

Crafting Beautiful & Functional Web Experiences

Hey, I'm Sahith, a Full Stack Developer passionate about building performant, user-friendly, and scalable applications.

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About Me

Sahith Profile Picture

I'm a passionate Software Engineer & Full-Stack Developer who loves building scalable, AI-powered applications and modern web experiences. Always exploring new technologies and creating solutions that have real-world impact.

Education

Vellore Institute of Technology 2022 - 2026

Bachelor of Technology in Computer Science CGPA: 8.72

Experience

InfosysAug 2025 - Oct 2025

Web Development InternRemote

  • Built a Kanban-based task management system with drag-and-drop features for improved workflow clarity.
  • Collaborated in daily standups with cross-functional teams to deliver features on time.
  • Fixed UI/UX issues and optimized frontend performance for smoother interactions.
  • Quickly adapted to Angular for the project despite primarily working with React.

Tech Stack

HTMLCSSJavaScriptJavaReactJSTailwind CSSNodeJSExpressJSMongoDBMySQLRedux ToolkitGitGitHubAWSVercelPostman

EXPLORE MY CREATIONS

Projects

PrepWise

PrepWise is an AI-driven interview preparation platform that generates personalized quizzes for students and working professionals.

  • - Generates personalized interview questions.
  • - Includes 10+ secure REST APIs with JWT authentication.
  • - 95%+ mobile responsive UI with 30% faster load times.
React.js Tailwind CSS Node.js Express.js MongoDB Gemini API
PrepWise screenshot

AdSnap Studio

AdSnap Studio is an AI-powered platform for generating product images, enabling creators and marketers to produce high-quality visuals instantly.

  • - Generates AI-based product images using Bria API.
  • - 95%+ cross-device responsive UI.
  • - Reduced content creation time by 60%.
React.js Tailwind CSS Node.js Express.js MongoDB Bria API
AdSnap Studio screenshot

IntelliSearch

IntelliSearch is a Retrieval-Augmented Generation (RAG) based AI assistant that processes documents, generates context-aware responses using LLMs.

  • - Built a complete RAG pipeline for grounded AI answers.
  • - Semantic search powered by vector embeddings.
  • - Supports PDF/text ingestion with automatic chunking.
Python Pinecone Gemini API Langchain FastAPI Streamlit
IntelliSearch screenshot

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