Open to Opportunities

Aarush Dubey

Software Engineer & Researcher

I build production-grade full-stack applications and intelligent systems that solve real problems. Pre-final year CS student at SRM University AP — passionate about shipping software that scales and creating impact through code.

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Aarush Dubey
location_on Vijayawada, India

About

I'm a sophomore Computer Science student with a passion for building things that work at scale. Over the past two years, I've shipped a production e-commerce platform serving 2000+ monthly users, architected RAG pipelines processing 5,000+ document queries, and I'm currently researching quantum-resistant cryptography using lattice-based constructions in C and Python.

I enjoy working across the full stack — from optimizing React frontends to designing database schemas to implementing cryptographic protocols. When I'm not writing code, I'm leading the Smart Tech Club as Vice President, organizing hackathons and tech events for 200+ members.

school

Education

SRM University, AP

B.Tech in Computer Science

2024 – 2028 · CGPA: 8.9

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Certifications

MongoDB Associate Developer Data Science & ML Generative AI Fundamentals

Experience

Research Intern — Quantum-Resistant Cryptography

Research Project on Secure Cloud Storage

Current Jun 2026 – Present
  • Researching and implementing a quantum-resistant Remote Data Integrity Auditing (RDIA) system using Lattice-Based Cryptography in C and Python, securing cloud storage against quantum threats.
  • Designed attribute-based secret key extraction and generated homomorphic integrity tags utilizing matrix operations, Gaussian sampling, and SIS-based trapdoors.
  • Benchmarked cryptographic operations including tag generation time, proof size, and verification time — demonstrating correctness, soundness, and collision resistance.

Full-Stack Software Engineer

Quint Beauty — Production E-Commerce Platform · quintbeauty.com

Nov 2025 – May 2026
  • Designed and developed a full-stack production e-commerce platform serving 2000+ monthly active users with React.js, TypeScript frontend and Node.js, Express.js, MongoDB backend.
  • Built an Admin Portal with role-based access control; integrated Razorpay payment gateway processing 200+ transactions/month with webhook-based order tracking.
  • Optimized performance via lazy loading, code splitting, and query optimization — achieving sub-2s page loads and a 95+ Lighthouse score.

Research Intern — Computational Linguistics & NLP

SRM University-AP · Mentor: Ms. Soni Wadhwa

Jan 2025 – May 2025
  • Built a full-stack analytical tool (Python/Streamlit + React) with automated data pipelines to extract, process, and visualize punctuation patterns across 50+ literary corpora comprising 2M+ data points.
  • Designed interactive dashboards (Plotly, Matplotlib) with SQL-backed storage, adopted by 3 research groups for real-time statistical analysis.
  • Collaborated in a 5-member Agile team with sprint planning, code reviews, and iterative delivery across 6 sprint cycles.

Projects

Guardian PDF

2026

Cloud-Deployed RAG Document Intelligence Engine

3-tier RAG pipeline for intelligent multi-document querying with NVIDIA AI Foundry. Custom C++ parser achieves 7.5x speedup. Serves 300+ users, 5,000+ queries processed.

React FastAPI ChromaDB C++ Docker
Live Demo

VisionOps

2026

Real-Time Computer Vision Analytics Platform

Production-grade platform integrating YOLOv8 object detection and Optical Flow analysis with FastAPI backend. Processes 30 fps with 10,000+ logged detection events.

PyTorch YOLOv8 FastAPI OpenCV SQLite
GitHub

ET-Concierge

2026

AI-Powered Financial Intelligence Twin

AI guide leveraging NVIDIA Llama 3.1 (70B) and Groq for hyper-personalized financial insights. 150+ registered users, sub-1s page transitions, 98% uptime.

Next.js TypeScript Supabase Groq
Live Demo

TransactAI

2025

Explainable ML Pipeline for Financial Intelligence

End-to-end ML pipeline for automated financial transaction categorization. Achieved macro F1-score of 1.00 using ensemble methods with SHAP-based explainability.

Python Scikit-Learn XGBoost SHAP
GHCI 2025 Hackathon

ConvoShield-AI

2026

Real-Time Cybersecurity Threat Detection Platform

Browser extension with NLP-based threat detection to identify phishing, social engineering, and malicious content in real-time. 94% detection accuracy.

NLP JavaScript Python Flask
GitHub

JARVIS

2025

Autonomous AI Agent with Long-Term Memory

Sophisticated AI Personal Assistant with persistent memory using JSON-based memory systems. Integrated Google Gemini API for real-time task automation and planning.

Python Flask Gemini API Cloud
Live Demo

Technical Skills

Languages
Python C / C++ Java JavaScript (ES6+) TypeScript SQL HTML5 / CSS3
Frontend
React.js Next.js Tailwind CSS Context API Responsive Design
Backend
Node.js Express.js FastAPI Flask REST APIs JWT Auth
AI / ML
Scikit-Learn PyTorch YOLOv8 OpenCV LangChain RAG Pipelines SHAP
Databases
MongoDB MySQL SQLite ChromaDB Supabase
Cloud & DevOps
AWS (EC2, S3) Docker CI/CD Git / GitHub Render

Achievements & Leadership

groups

Vice President, Smart Tech Club

Leading 200+ members; organized 10+ university-level tech events, workshops, CTF competitions, and hackathons across 4 engineering departments.

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GDG Code4Her Hackathon — Top 15

Built ConvoShield-AI, a real-time cybersecurity threat detection platform. Competed among 500+ teams nationally.

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GHCI 2025 Hackathon — Round 2

Developed TransactAI — XAI-driven financial intelligence solution. Advanced to Round 2 among 1,200+ teams nationally.

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Open-Source Portfolio

Maintaining 5+ production-deployed projects on GitHub with live demos, comprehensive documentation, and CI/CD pipelines.

Let's Connect

I'm always open to discussing new opportunities, innovative projects, or just connecting with fellow engineers. Feel free to reach out.

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