Open to internships & project collaborations

Hi, I'm Aayush.

Software Developer · AI & Full-Stack

I build practical AI systems and the full-stack apps around them — most recently retrieval-augmented generation (RAG) pipelines that answer questions from documents with citations.

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Bhubaneswar, IndiaB.Tech CSE (3rd year) at KIIT Bhubaneswar

aayush.json

$ cat aayush.json
{
  "name": "Aayush",
  "studies": "B.Tech CSE (3rd year) at KIIT Bhubaneswar",
  "focus": ["RAG", "LLMs", "Embeddings"],
  "based_in": "Bhubaneswar, India",
  "open_to_work": true
}
$

3rdYear of B.Tech
2Projects
1Internship
1Blog post

// about

About me

I'm a third-year B.Tech Computer Science & Engineering student at KIIT, Bhubaneswar.

During my internship I worked on retrieval-augmented generation: document extraction, chunking, embeddings, vector search and grounded answer generation with source citations. I enjoy taking an idea from a notebook to a deployed, tested service.

Right now I'm sharpening my fundamentals in data structures, systems and machine learning, and I'm looking for internships and open-source work where I can ship real things.

// skills

Tools I work with

Languages

Python
C++
Java
JavaScript
SQL

AI / ML

RAG
LLMs
Embeddings
Vector search
PyTorch
scikit-learn

Backend

FastAPI
REST APIs
MongoDB
PostgreSQL

Frontend

HTML
CSS
React

Tools

Git & GitHub
Linux
Docker
VS Code

// projects

Things I've built

AI / ML2026

RAG Research Assistant

Ask questions about a collection of PDFs and get grounded answers with citations to the source pages.

Python
FastAPI
LLMs
Embeddings
Vector search
React

Details →

Web / Full-stack2026

aayush-dev.com — this website

Personal portfolio with an admin panel, contact form with spam protection and auto-deploy from GitHub.

FastAPI
MongoDB
Jinja2
nginx
GitHub Actions

Details → Live

// experience

Experience & education

Experience

Research Intern — Retrieval-Augmented Generation (RAG)
2026

Summer Internship
- Built a document question-answering pipeline: PDF extraction, chunking, embeddings, retrieval and cited generation
- Compared chunking and retrieval settings on a set of test questions
- Wrapped the pipeline in a web API and a simple chat interface
- Python
- LLMs
- Embeddings
- Vector search
- FastAPI

Education

B.Tech, Computer Science & Engineering
3rd year (2024 – 2028)

KIIT, Bhubaneswar · Bhubaneswar, Odisha

Coursework: Data Structures & Algorithms, Operating Systems, DBMS, Computer Networks, Machine Learning.

// writing

Latest from the blog

All posts →

20 Aug 2026

What I learned building my first RAG pipeline

Chunking, retrieval and citations: the parts of retrieval-augmented generation that mattered most.

1 min read

// contact

Let's build something

Internships, projects, open-source or just a question about something I've built — send a message and I'll reply by email.