Nikhil Tomar

About

Frontend Developer with hands-on experience building responsive, production-quality web applications using React.js and modern JavaScript. Has applied knowledge of Generative AI application development, including LLM APIs, prompt engineering, and RAG, with experience integrating OpenAI and Anthropic Claude APIs into user-facing products.

Education

• B.Tech in Computer Science Engineering
  Sunder Deep College of Engineering and Technology
  Computer Science Engineering · 2021 – 2025

Skills

• Python
• Prompt Engineering
• CSS3
• JavaScript
• Tailwind CSS
• React
• Responsive Design
• LangChain
• Redux
• OpenAI API
• API Integration Understanding
• HTML5
• RAG
• Agile

Projects

• Mock Interview Simulator
  React.js, JavaScript, OpenAI API, LangChain

  Developed an interactive mock interview tool that generates role-specific technical and behavioral questions using LLM APIs and evaluates user responses in real time. Used RAG to ground generated questions in role-specific context, improving relevance for frontend and GenAI developer positions. Built a clean, responsive UI with instant feedback, scoring, and follow-up question generation to simulate a realistic interview flow. Integrated conversational state handling to maintain context across multiple interview turns.

• AI-Powered Resume Builder
  React.js, Tailwind CSS, Anthropic Claude API

  Built a web app that generates ATS-optimized resumes by sending user profile data to the Claude API and structuring the response into formatted, downloadable resume documents. Designed a single-page React interface with real-time form validation, live preview, and section-wise editing for Summary, Skills, Projects, and Education. Implemented prompt engineering techniques to ensure consistent, well-structured AI output tailored to different job roles and keywords. Reduced manual resume formatting effort by automating content generation and layout structuring end-to-end.