Passionate about building AI-powered applications, scalable backend systems, and full-stack products that solve real-world problems.
- 🎓 B.Tech in Computer Science & Engineering (Data Science)
- 💻 Software Engineer focused on Full Stack Development and Generative AI
- 🤖 Building AI-powered applications using RAG, LLMs, Semantic Search, and REST APIs
- 🌱 Currently learning LangChain, LangGraph, Agentic AI, pgVector, and AWS
- 🔍 Interested in AI Engineering, Backend Development, and Product Engineering
- ⚡ Strong believer in learning by building real-world products
Python • JavaScript • TypeScript • SQL
React • React Native • Expo • HTML5 • CSS3 • Tailwind CSS
Django • Django REST Framework • Node.js • Express.js • REST APIs • JWT Authentication
PostgreSQL • MySQL
LLMs • RAG • Semantic Search • Prompt Engineering • Vector Search • Vector Embeddings • Generative AI
Docker • Git • GitHub • Render • Vercel • Kubernetes (Learning) • AWS (Learning)
📚 Bookies – AI-Powered Book Mentor | Live Demo: https://bookies-nu.vercel.app |Github Repo Link: https://github.com/Prayag1-tecj/bookies
AI-powered SaaS platform that transforms books into interactive mentors using Retrieval-Augmented Generation (RAG).
- React + TypeScript frontend
- Django REST Framework backend
- PostgreSQL database
- JWT Authentication
- Semantic Search
- Document Processing Pipelines
- AI-Powered Question Answering
- Scalable REST APIs
📄 AI Resume Analyzer | Live Demo: https://ai-resume-analyzer-mu-weld.vercel.app/ | Github Repo Link: https://github.com/Prayag1-tecj/ai-resume-analyzer
AI-powered platform that evaluates resumes and generates personalized recommendations.
- React Frontend
- Django REST Framework
- PostgreSQL
- Google Gemini AI
- Resume Scoring
- Skill Gap Analysis
- Dashboard Analytics
- Cloud Deployment
Currently exploring:
- LangChain
- LangGraph
- Agentic AI Workflows
- Multi-Agent Systems
- Vector Databases (pgVector)
- AWS Bedrock
- AI Infrastructure
- Software Engineering
- Full Stack Development
- Backend Engineering
- AI Engineering
- Generative AI
- Platform Engineering
- Product Development
📧 Email: prayag.raj.9887@gmail.com
💼 LinkedIn: https://linkedin.com/in/prayag-raj-shrivastava
🐙 GitHub: https://github.com/Prayag1-tecj
"The best way to learn technology is to build products that solve real problems."
I enjoy transforming ideas into working software, experimenting with emerging AI technologies, and continuously improving my engineering skills through hands-on development.