Purujeet Kumar

purujeetkr2005@gmail.com | +91 7004759761

Skills

  • Languages: JavaScript, Java, TypeScript, Python, HTML
  • Tools/Platforms: MongoDB, Git, GitHub, PostgreSQL, NextAuth, Vercel, Vector DB, Supabase, NextJS
  • Soft Skills: Problem-Solving, Team Player, Adaptability

Projects

Ghost Voice | TypeScript, Vector DB, RAG

July '26
  • Developed an AI-powered relationship and therapy platform that de-escalates conflicts, guides users through relationship challenges, provides personalized individual support, and continuously improves through user interactions and contextual learning.
  • Provided a way for couples to resolve their arguments and tries to calm the users about their argument along with providing a solution to their problems.
  • Prevented AI Hallucinations and using RAG and made the platform faster using Vector Embedding. The website uses TypeScript along with Vercel AI-SDK to gain best answers.

Trader OS | JavaScript, HTML, Tailwind, GSAP, MongoDB

Mar '26
  • Simplified the tax filing system for crypto traders and provides pdf of their investment and return.
  • Normalized the data that is coming from different websites for crypto trading with support of over 5 trading platforms. It produces the tax file with different solutions for different countries with their different rules based on the country of user.
  • Helps customers as well as CA firms utilize their time and energy efficiently by returning a format which they just need to make changes in file.

DSA Quiz | JavaScript, HTML, Tailwind, GSAP, MongoDB

Jan '26
  • Developed an interactive DSA learning platform that transforms complex problem-solving concepts into structured quiz-based missions, enabling users to practice by topic and difficulty while tracking their progress toward interview readiness.
  • Analyzed and tested the user's ability to answer questions based on Data Structure and Algorithm.
  • Provided a way to test the users DSA skills in a quiz format and tests the user's ability to adapt to DSA Questions from Leetcode. It uses JavaScript for Logic, MongoDB for Database and NextAuth for authentication.

Training

Data Science using Python | Lovely Professional University

Jun '26 - Jul '26
  • Understood the various methods and implementation of AI including new features which included LLM integration, RAG implementation, Lang Chain and Database Embedding.
  • Developed, trained, and evaluated various Machine Learning models, including Linear Regression, and developed an CSV summary implementation which tells users about the csv and answer to them without reading any line.
  • Employed feature engineering techniques to enhance model performance by 25% for predictive analysis and reduced hallucination by 20%.

Education

Bachelor of Technology (Computer Science and Engineering)

Lovely Professional University | Phagwara, Punjab | CGPA: 7.54

Aug '24 - Present

Intermediate

D.A.V Kapildev Public School | Ranchi, Jharkhand | Percentage: 71%

Mar '20 - May '21

Certificates & Achievements

  • AI Foundations Associate: Oracle Cloud Infrastructure (Apr '26)
  • Data Structure and Algorithm: Cipher Schools (Dec '25)
  • Achievement: Solved 100+ DSA questions combining GeeksforGeeks and Leetcode.