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Achievement: Pair Extraordinaire

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Achievement: Pair Extraordinaire

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nexus69420/README.md
Aayush Dubey — building systems that survive contact with reality
Portfolio LinkedIn Email Aayush

I turn messy workflows into backend systems people can actually ship. My sweet spot is the layer between a promising feature and a dependable product: multi-tenant auth, document lifecycles, OCR/RAG pipelines, and the API glue that makes it all hold.

role      Software Engineering Intern · Flywheel
study     B.Tech ICE · NSUT Delhi · 2023–present
focus     APIs · multi-tenancy · OCR / RAG · eval pipelines
looking   SDE / internship · 2026 · backend, platform, full-stack

> shipped_work

📄 KAI

A full-stack RAG desk that answers from retrieved PDF evidence — hybrid retrieval, Gemini reranking, and page-level citations.

Next.js Qdrant Gemini RAG

source ↗ · live ↗

🏠 Airbnb Clone

End-to-end booking platform with layered FastAPI services, JWT auth, and 9 domain entities across explore / book / host flows.

Next.js FastAPI SQLAlchemy JWT

source ↗ · live ↗

🔬 OCR Benchmark

A resumable benchmarking harness that scores OCR/VLM engines on accuracy-vs-latency — used to pick production models on H100s.

Python vLLM OCR Eval

source ↗

> systems_i_reach_for

Python, C++, JavaScript, TypeScript, FastAPI, Next.js, React, PostgreSQL, Docker, Linux, and Git

> contribution_arcade

contribution arcade — snake eating GitHub contributions
off the clock
Football, video games, and occasionally tearing a backend down just to make sure the abstractions still hold.

telemetry

GitHub stats top languages
GitHub contribution streak
contribution graph

Pinned Loading

  1. kai-ai-rag kai-ai-rag Public

    Multi-PDF AI RAG chatbot using Gemini, LangChain and React

    TypeScript

  2. atlas atlas Public

    Python 1

  3. ocr-benchmark-v2 ocr-benchmark-v2 Public

    Python

  4. Airbnb-clone Airbnb-clone Public

    Airbnb clone — Next.js 15 + FastAPI hiring demo

    TypeScript

  5. movie-recommender-streamlit movie-recommender-streamlit Public

    A hybrid movie recommendation system that combines content-based filtering using NLP and collaborative filtering using SVD. Built with Python, Streamlit, and trained on TMDB and MovieLens data. Del…

    Jupyter Notebook 2

  6. docs-pipeline-1 docs-pipeline-1 Public

    Forked from OpenAgriNet/docs-pipeline

    Python 1