I'm a Computer Science student who enjoys building software at the intersection of full-stack engineering and artificial intelligence.
My interests span from designing reliable backend systems and modern web applications to experimenting with LLMs, Generative AI, intelligent automation, and agentic systems.
I like understanding how things work under the hood, solving problems systematically, and turning ideas into software that people can actually use.
Full-Stack Engineering
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Backend & APIs
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AI / GenAI / LLMs
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Automation & Intelligent Systems
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Scalable Software
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I'm particularly interested in the following areas:
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Generative AI LLMs AI Applications RAG AI Automation |
Backend Systems APIs Architecture Databases Scalability |
Full Stack React Next.js Node.js Modern Web |
Problem Solving DSA Algorithms Optimization System Design |
┌────────────────────────────────────────────────────────────┐
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│ 🤖 Agentic AI & Autonomous Workflows │
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│ 🧠 LLM Applications & AI Engineering │
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│ 🔍 RAG, Retrieval & Knowledge Systems │
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│ 🏗️ Scalable Backend & Distributed Systems │
│ │
│ ☁️ Cloud Architecture & Serverless Infrastructure │
│ │
│ ⚡ High-performance Full-Stack Applications │
│ │
└────────────────────────────────────────────────────────────┘
Build things. Understand the fundamentals. Question abstractions. Keep learning.
I care about more than just making something work.
I'm interested in understanding:
- Why a system is designed the way it is
- How it behaves under scale
- Where bottlenecks appear
- How data flows through a system
- How AI can improve existing workflows
- How to make software simpler, faster and more reliable
