I build backend systems, work with LLMs and RAG pipelines, and enjoy solving DSA problems with a strong focus on fundamentals.

• 🎓 B.Tech in Computer Science & Communication Engineering at KIIT University
• 🧠 Strong foundation in DSA (HashMaps, Stacks, Queues, Trees)
• ⚙️ Backend-focused developer with Python & REST APIs
• 🤖 Exploring GenAI, LLMs, RAG, and AI-powered applications
• 💼 Interested in FinTech, product-based companies & scalable systems
• 🎯 Goal: Grow into a strong backend / AI engineer

• Flask
• Django (learning)
• React (basic understanding)
• REST APIs

• PostgreSQL
• MySQL
• MongoDB
• Vector Databases (Qdrant)

• Git & GitHub
• Docker (learning)
• AWS (basic understanding)
• Linux

Backend system that generates personal portfolio websites using LLMs

• Uses prompt engineering, RAG, and REST APIs
• Tech Stack: Python, Flask, LLM APIs, Vector DB

AI-driven student dashboard with adaptive assessment and performance feedback

Content-based recommendation system using similarity metrics

• Tech Stack: Python, Pandas, NumPy

CRUD-based backend application with role-based logic

• Tech Stack: Java, SQL

• Regularly solving DSA problems on LeetCode
• Focus areas: Arrays, HashMaps, Stacks, Queues, Trees, Graphs
• 🔗 LeetCode Profile

• Become an LLM Engineer in 8 Weeks – Udemy
• Meta React Native – Coursera
• Django for Everybody (ongoing)

I like combining system design thinking with AI-powered solutions to build impactful applications!