Open to Software Engineering Internships

Aarushi Chaurasiya

Full-Stack Developer · AI Application Engineer

CSE undergraduate building production-style full-stack systems, workflow-driven applications, and AI-powered tools — with a focus on clean APIs, reliable data workflows, and practical user experiences.

Aarushi Chaurasiya
About

Full-stack-first, AI-forward.

I'm a Computer Science Engineering undergraduate at Aditya University. I enjoy turning real-world requirements into complete systems — from database design and backend workflow controls to responsive user experiences and deployment. My recent work includes FieldOps, a production-style field-service operations platform; AVIKA, a MERN food platform; and QBADS, a quantum–blockchain anomaly detection prototype.

Engineering Focus

What I build

Full-Stack Systems

End-to-end web applications spanning frontend experiences, backend APIs, databases, authentication, and deployment.

Backend & Data

REST APIs, relational and document databases, workflow controls, validation, and role-aware business logic.

AI Applications

Generative AI workflows, API integration, prompt engineering, and practical AI-assisted application features.

Cloud & DevOps

Git-based workflows, Docker, Kubernetes fundamentals, hosted applications, and production-minded configuration.

Security & Access

Authentication, authorization, role-based workflows, database-level access controls, and protected mutations.

Systems & CS

DSA, OOP, DBMS, operating systems, software engineering, and structured problem-solving foundations.

Technical Skills

Technology stack

Languages

JavaPythonC/C++SQLJavaScript

Full Stack

ReactNext.jsNode.jsExpressTypeScript

Data & Backend

PostgreSQLSupabaseMongoDBMySQLREST APIs

AI & Emerging Tech

Generative AILangChain4jGemini APIQiskitPrompt Engineering

DevOps

GitGitHubDockerKubernetesVercel

Core CS

DSAOOPDBMSOSSoftware Engineering
Featured Projects

Three systems, three different engineering problems.

FieldOps — Field Service Operations Platform

Production Verified
Next.jsTypeScriptSupabasePostgreSQLRLSVercel

A production-style platform that connects customer service requests, dispatcher operations, technician execution, customer sign-off, invoicing, payment state, and service reporting into one controlled workflow.

  • Role-specific customer, dispatcher, and technician workspaces
  • Protected workflow mutations using server/database controls and RLS
  • Technician execution with work logs, parts, completion notes, and status transitions
  • Customer sign-off followed by invoice draft → issued → paid lifecycle
  • Service report with browser Print / Save PDF workflow

AVIKA — From Local Kitchens, With Love

MERN
MongoDBExpressReactNode.js

A full-stack food delivery platform connecting customers with local kitchens through restaurant discovery, menus, cart, checkout, orders, and kitchen management.

  • Separate customer and kitchen/admin React applications backed by a shared Express + MongoDB API
  • Kitchen discovery, menu management, cart, checkout, payment, and order history
  • Role-based kitchen operations, employee management, dashboard metrics, and approval workflow

QBADS — Quantum–Blockchain Anomaly Detection System

Research Prototype
QiskitQSVM / QNNPythonReactTypeScriptTailwind CSSBlockchain

A hybrid research and engineering prototype combining Quantum Machine Learning with blockchain-based auditability for transparent anomaly detection in financial transactions. The system is designed as an end-to-end demonstration from transaction ingestion to detection, immutable audit logging, and human-interpretable monitoring.

  • Quantum anomaly detection layer exploring QSVM / QNN models with quantum-state feature encoding and simulator or backend inference
  • Classical–quantum backend orchestration with preprocessing, REST APIs, and latency/performance tracking
  • Permissioned blockchain audit layer for timestamped anomaly events and traceable detection outcomes
  • React + TypeScript dashboard for transaction monitoring, anomaly scores, risk classification, model metadata, and audit inspection

Current status: system architecture defined, frontend dashboard scaffolded, backend and quantum pipelines under active development, and blockchain integration in progress. This is an academic/experimental prototype rather than a production financial system.

Currently Building

Event & Collaboration Platform

In development

Building a full-stack event-management and collaboration platform with structured event workflows, backend APIs, PostgreSQL data modeling, and containerized local development.

Next.jsNestJSPostgreSQLPrismaDocker
Experience & Education

Background

Full Stack Java Intern

SkillDzire · AICTE-recognized program
May 2025 — Jun 2025

Worked on full-stack development fundamentals, Java-based application workflows, backend integration, databases, and practical software development tasks.

B.Tech — Computer Science Engineering

Aditya University
2023 — 2027

Computer Science Engineering undergraduate building projects across full-stack development, databases, AI applications, DevOps, and emerging technologies.

Certifications

Continuous learning

✓Oracle Database 19c: Advanced SQL
✓Docker: Build and Optimize Docker Images
✓Kubernetes: Microservices
✓Generative AI Java Apps with LangChain4j
✓Getting Started with Google Gemini API
✓SQL Essential Training
Contact

Let's build something useful.

Open to software engineering internships, full-stack opportunities, and collaborative engineering projects.