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Aniruddha Gharat

@aniruddhagharat

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Frontend engineer building fast, accessible web apps with React and Next.js.

India

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What I'm looking for

I’m looking for a role where I can ship high-performance, accessible web experiences and scalable full-stack features, working with strong engineering practices around security, UX polish, and measurable latency improvements.

I’m a frontend engineer who’s hands-on about performance, accessibility, and clean UX. As a Frontend Engineer Intern at Studio MD, I built full-stack applications with Next.js, TypeScript, and PostgreSQL, including multi-tenant authentication with RBAC using Prisma ORM for strict data isolation.

I optimize real user outcomes: I reduced dashboard load latency by 40% through indexing and query optimization, and I delivered pixel-perfect, WCAG-compliant UIs from Figma with GSAP animations at 60fps. I also enjoy teaching and building with AI—through my Google Student Ambassador work on LLMs and RAG—and I’ve shipped multi-tenant SaaS and serverless automation in projects like SendMyBill and GoGym.

Experience

Work history, roles, and key accomplishments

Google Student Ambassador

Google

Aug 2025 - Nov 2025 (3 months)

Ran interactive workshops and sessions on AI-native tools, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) for students and professionals. Represented the college at community and developer events at the Google Mumbai Office while promoting AI awareness and practical generative AI development workflows.

Large Language Models Generative AI Workshop Facilitation Technical Presentations Community Engagement RAG

Frontend Engineer Intern

Studio MD

Jul 2025 - Sep 2025 (2 months)

Built full-stack applications with Next.js, TypeScript, and PostgreSQL, implementing multi-tenant authentication with RBAC via Prisma ORM for strict data isolation. Reduced dashboard load latency by 40% through database indexing and query optimization, and delivered WCAG-compliant, pixel-perfect UIs using GSAP (60fps) with Cloudinary image payload reduced by 35%.

Next.js TypeScript PostgreSQL Prisma RBAC AWS Lambda Query Optimization Cloudinary