I'm a CS student at VIT Bhopal building AI systems end-to-end — from model pipelines to production deployment. I don't study AI. I build it.
- 🤖 Focused on LLMs, RAG, agentic pipelines, and NLP systems
- 🔧 Ships full-stack AI apps: Next.js + TypeScript frontend, Java/Spring Boot backend
- 🧠 Obsessed with the intersection of language models and real-world product systems
- 🌍 Based in India | Open to remote AI Engineer / ML internship roles
- 📬 LinkedIn • kanishkashukla04@gmail.com
Large Language Models (LLMs) Retrieval-Augmented Generation (RAG)
Agentic AI Pipelines Natural Language Interfaces
NLP for Structured Data Prompt Engineering
LLM-based Code Generation Context Synthesis & Summarization
AI / ML / NLP
Languages
Full-Stack & Deployment
Tools
AI-powered language learning app for US vs UK English pronunciation.
Stack: Next.js · TypeScript · React · Tailwind CSS · Web Speech Synthesis API
- Real-time speech synthesis for accent playback — core NLP interaction pattern
- Natural language-style suggestion search over a curated semantic word dataset
- Fully deployed on Vercel — shipped end-to-end, independently
Agentic AI pipeline for food safety analysis and nutrition recommendation.
Stack: Java · Spring Boot · ML Classification · REST APIs
- Accepts natural language food queries and routes through an ML classification pipeline
- Integrates AI inference with a production-grade Java/Spring Boot backend
- Evaluated with precision, recall, F1 — rigorous AI evaluation frameworks
Automated open source software audit pipeline — VIT Bhopal capstone project.
Stack: Shell · Python
Java application built during coursework at VIT Bhopal.
Stack: Java
Actively seeking AI Engineer internships, ML roles, and LLM/NLP projects — remote preferred.
I build systems where AI is the core product, not an afterthought. Let's talk.