Hi, I'm Deepak Sharma!
Software Engineer
HTML5/CSS3 Mastery
Product Design
Branding
Collaborative Team Player
About Me
👋 Hi, I’m Deepak Sharma — a third-year Computer Science student and self-taught full-stack developer. I love building fast, user-friendly web applications using modern tools like TypeScript, Next.js, and Node.js. What began as a hobby of tinkering with side projects has grown into a deep passion for solving real-world problems through code.
🛠️ I see every project as more than just code — it's a product, a puzzle, and a potential impact. I approach my work like a mini startup: thinking about the user experience, performance, design, and how it all comes together. Whether I’m building an internal tool, a sleek dashboard, or an AI-powered agent, I aim to create experiences people can rely on — and enjoy using.
🚀 I'm a big believer in clean 🧹 code, fast ⚡ iteration, and taking ownership. I thrive in environments where learning never stops — from exploring new frameworks to diving deep into system design and AI architecture. Always building, always curious.
My Stack
Next.js helps me build modern web apps with lightning-fast performance, built-in routing, and SEO support. Its hybrid rendering (SSR + SSG) gives me flexibility and control. I use it to create scalable, production-ready React applications with ease.
Next
LangChain lets me build AI agents and applications by chaining together language models, tools, and memory. I use it to develop intelligent, context-aware apps that go beyond simple prompts — enabling real-world LLM integration 🤖.
Langchain
Node.js allows me to build scalable backend services using JavaScript. With its event-driven, non-blocking architecture, I can handle multiple requests efficiently. I use it for APIs, real-time apps, and full-stack development.
Nodejs
I use TypeScript to write safer and more maintainable code. Static typing helps me catch bugs early, improve code navigation, and scale projects confidently. It’s a key part of my workflow for building reliable frontend and backend systems.
Typescript
I use Docker to containerize my applications, ensuring they run consistently across different environments. It simplifies testing, deployment, and scaling — making my projects more reliable and DevOps-friendly 🔧🚢.
Docker
PostgreSQL is my go-to relational database for structured, reliable data storage. It supports powerful queries, relationships, and constraints — perfect for real-world applications. I use it when I need consistency, performance, and advanced data handling.
SQL
Git helps me track every change in my codebase and experiment without fear. It’s essential for collaboration, version control, and maintaining clean development workflows. I use Git daily to manage branches, rollbacks, and team contributions.
Git
GraphQL gives me precise control over data fetching, reducing over-fetching and under-fetching issues common in REST APIs. I use it to build efficient, flexible, and powerful APIs that serve exactly what the frontend needs.
GraphQL
React is the backbone of my frontend development. Its component-based architecture makes UI building efficient and reusable. I use it to create fast, dynamic, and interactive interfaces with a seamless user experience ⚛️✨.
React
ChatGPT is my content generation and assistance tool. I leverage it for content ideas, copywriting, and problem-solving. It provides invaluable insights and suggestions that enhance the quality of my projects.
Chat GPT
HTML5 is the backbone of my web design work. I use it to structure content, ensuring that websites are semantically meaningful and accessible. It forms the foundation upon which the visual elements of a site are built.
HTML
CSS3 is my styling and layout powerhouse. It's instrumental in creating visually appealing websites by controlling everything from fonts and colors to the responsive design that adapts to various screen sizes.
CSS
Education
St. Martin's Engineering College, Hyderabad
B.Tech in Computer Science and Engineering
July 2022 – Present
Loyola Academy Junior College, Alwal, Hyderabad
Completed with 83% aggregate in the MPC stream.
July 2020 – May 2022
