Aryan

Junior Software Developer Intern

Software Development
View LinkedIn View resume
2roles
26skills
1education

About

Information and Communication Technology student with internship experience in backend and full-stack development, REST APIs, databases, analytics, and AI/LLM integrations.

Experience

Junior Software Developer Intern

Xplor

July 2026 – Present · Remote

Optimized a backend workflow by eliminating N+1 database queries, reducing API latency from 250–380 ms to 100–130 ms. Implemented backend functionality for lead management, reporting, user management, analytics, automated alerts, scheduled status transitions, dashboard features, REST APIs, Excel reports, session management, validation, access restrictions, and frontend-backend integrations.

Full Stack Developer Intern

OneflowAI

March 2026 – July 2026 · Remote

Built and maintained admin modules for orders, customers, coupons, checkout settings, wallet management, and analytics dashboards. Developed backend REST APIs and implemented customer risk-factor workflows, blacklist management, payment analytics, coupon tracking, KPI visualizations, and frontend UX improvements.

Education

Pandit Deendayal Energy University (PDEU), Gandhinagar

B.Tech, Information and Communication Technology

August 2023 – Expected August 2027

CGPA: 8.92 / 10

Skills

PythonCC++DjangoFastAPIFlaskREST APIsWebSocketsSocket.ioPostgreSQLMySQLDockerGitGitHubPostmanJavaScriptHTMLCSSBootstrapGemini APIOpenAI APILLM IntegrationData StructuresAlgorithmsOOPOperating Systems

Projects

AI Support Ticket System

Developed a full-stack ticketing system using Django REST Framework, React, Tailwind CSS, PostgreSQL, Docker, and Gemini API, with 10+ RESTful endpoints for filtering, search, and analytics. Integrated Gemini API with an OpenAI fallback for real-time support request categorization and prioritization, and orchestrated a multi-container architecture using Docker Compose.

Invoice Extraction and Quality Control Service

Built a FastAPI and Pydantic backend pipeline to extract data from PDF invoices and validate it across three steps. Added checks for invalid dates and mismatched totals, processing 8.3 invoices per second with 120 ms latency and reducing output size by 96%.