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I’m Ritesh Shinde, a Computer Science engineering student who enjoys building backend-first products with Python and FastAPI and bringing them to life with clean REST APIs and reliable databases. I’ve worked on indexing large-scale academic data, shipping AI features for researchers, and improving release cadence using Docker and containerized services.…

Ritesh Shinde

Web Developer, Full Stack Developer, Back-End Developer, +3

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I’m Ritesh Shinde, a Computer Science engineering student who enjoys building backend-first products with Python and FastAPI and bringing them to life with clean REST APIs and reliable databases. I’ve worked on indexing large-scale academic data, shipping AI features for researchers, and improving release cadence using Docker and containerized services.…

Available to hire

I’m Ritesh Shinde, a Computer Science engineering student who enjoys building backend-first products with Python and FastAPI and bringing them to life with clean REST APIs and reliable databases. I’ve worked on indexing large-scale academic data, shipping AI features for researchers, and improving release cadence using Docker and containerized services.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Work Experience

Research and Development Intern at Erdos AI Lab

April 1, 2026 - Present

Built FastAPI backend services indexing 12,000+ academic conferences across 80+ countries. Containerized services with Docker and improved release cadence by 25%. Shipped AI features used by 1,000+ researchers daily with cross-organization collaboration, focusing on scalability, performance, and stable deployments.

Full Stack Developer at Innovative Solutions

June 1, 2025 - December 1, 2025

Built 8+ full-stack modules across 3 apps, reducing manual workflows by 40%. Delivered an invoice system for 100+ invoices, reducing billing errors by 45%. Designed 10+ REST APIs with MySQL to improve data retrieval by 25%. Improved UI performance and reduced page load time by 30%, working across backend integration and frontend optimization.