AI Intern @ IIT Ropar

Building intelligent,
human-centred software.

I'm Ritwij — an Information Technology undergrad at VIT Vellore who loves turning research ideas into production-grade products across AI, computer vision, and mobile development.

01

About

I'm a third-year Information Technology undergraduate at the Vellore Institute of Technology (CGPA 8.8/10), fascinated by the intersection of applied AI and real-world product engineering.

Currently I'm an AI Intern at the Vicharanashala Lab, IIT Ropar, where I contribute to the ViBe educational platform — shipping production-oriented features in an open-source environment under mentor guidance.

Outside of work, I've built end-to-end systems spanning retrieval-augmented generation chatbots, vision-based assistive navigation, and Android apps. I've also I've also solved 400+ DSA problems and hold a peak LeetCode rating of 1620.

0 DSA problems solved
0 Peak LeetCode rating
0 College CGPA / 10
0 Flagship projects shipped
02

Experience

AI Intern

Vicharanashala Lab, IIT Ropar

Jun 2026 — Present
    Contributing to the development and enhancement of the FLN educational platform.
  • Developing production-oriented software features that improve learning experiences and platform usability.
  • Collaborating in an open-source environment using Git, GitHub, and modern software-engineering workflows.
  • Working on scalable educational-technology solutions under mentor guidance.
03

Projects

AI-Powered FAQ Chatbot

A retrieval-augmented generation (RAG) chatbot that delivers context-aware answers by grounding LLM outputs in a curated document corpus.

  • Ran LLMs locally with Ollama for private, low-cost answer generation.
  • Built a retrieval pipeline and used MongoDB for document & conversational data.
  • Improved response relevance through retrieval-grounded LLM outputs.
PythonRAGOllamaLLMsMongoDB

Vision-Based Indoor Navigation for the Visually Impaired

An AI-assisted indoor navigation system using semantic mapping and real-time path planning, designed accessibility-first.

  • Applied computer vision for obstacle detection and environment understanding.
  • Designed semantic mapping with real-time path planning.
  • Focused on low-latency processing, accessibility-first design, and scalable architecture.
Computer VisionSemantic MappingPath PlanningPython

Smart Expense Tracker

An Android app for tracking spending with category-based analytics and persistent local storage.

  • Built with Kotlin, Jetpack Compose, and MVVM architecture.
  • Implemented category-based expense analytics and CRUD-backed persistent storage.
KotlinJetpack ComposeMVVMAndroid
04

Skills

Languages

CC++PythonJavaKotlin

Core CS

DSAOOPDBMSOperating SystemsComputer Networks

AI / ML

ML FundamentalsRAGClassificationRegressionFeature EngineeringModel Evaluation

Generative AI

LLMsOllamaKnowledge Retrieval

Computer Vision

Image ProcessingObject DetectionSemantic Mapping

Mobile Development

AndroidJetpack ComposeMVVMREST APIs

Databases & Tools

MongoDBGitGitHubAndroid StudioNumPyPandasMatplotlib
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Achievements

400+ DSA problems solved

Across competitive-programming platforms — sharpening problem-solving and algorithmic intuition.

🏆

Peak LeetCode rating of 1620

Consistent contest participation with steadily climbing global ranks.

🎓

AI Intern at IIT Ropar

Selected to contribute to real-world educational-technology research at the Vicharanashala Lab.

📜

Strong academic record

College CGPA 8.8/10 · Class XII 80% · Class X 96.4%.

06

Contact

Let's build something that matters.

Whether it's an internship, a collaboration, or just a chat about AI, vision, or Android — my inbox is always open.