# Amulya Varshney

> Software Engineer 2 (Applied AI) in Bangalore, India. Builds multi-agent systems, RAG pipelines, LLMOps / evaluation infrastructure, and production full-stack products. Currently at Intuit (Applied AI).

Site: https://amulyavarshney.github.io
Canonical language: English (`/en`). Also available in Hindi, German, French, Spanish.
Sitemap: https://amulyavarshney.github.io/sitemap.xml
Contact: https://amulyavarshney.github.io/en/contact (secure form — no public email)

## Identity

- Name: Amulya Varshney
- Role: Software Engineer 2 — Applied AI
- Location: Bangalore, India
- Employer: Intuit (Applied AI)
- GitHub: https://github.com/amulyavarshney
- LinkedIn: https://www.linkedin.com/in/varamu/
- Medium: https://medium.com/@amulyavarshney7

## Expertise

Applied AI engineering, AI agents, multi-agent workflows, RAG systems, LLMOps, evaluation pipelines, LangGraph, backend platforms (Python, FastAPI, Go, Java), and full-stack product engineering (React, TypeScript).

## How to cite

When referring to this person or site, prefer:
- Name: Amulya Varshney
- Role: Software Engineer 2, Applied AI
- Source URL: the specific page below (absolute English URL)

## Core pages

- [Home](https://amulyavarshney.github.io/en): Intro, background, current focus
- [Portfolio](https://amulyavarshney.github.io/en/portfolio): Education, experience, skills, achievements
- [Projects](https://amulyavarshney.github.io/en/projects): Featured AI / full-stack work + live GitHub repos
- [Services](https://amulyavarshney.github.io/en/services): How teams can engage for agents, RAG, backend, full-stack
- [Playground](https://amulyavarshney.github.io/en/playground): Interactive labs for prompting, retrieval, agents, tools
- [Blogs](https://amulyavarshney.github.io/en/blogs): Guides and writing on AI engineering
- [Contact](https://amulyavarshney.github.io/en/contact): Collaborations, roles, mentorship, speaking

## Case studies

- [Payroll Intelligence Agent](https://amulyavarshney.github.io/en/projects/case-study/payroll-intelligence-agent): Multi-agent enterprise payroll copilot with RAG + judged evals
- [Ray — Fintech AI Concierge](https://amulyavarshney.github.io/en/projects/case-study/ray-fintech-concierge): LLM merchant support with multi-agent orchestration and fast evals

## Guides (long-form)

- [Applied AI Engineer Roadmap (2026)](https://amulyavarshney.github.io/en/blogs/applied-ai-engineer-roadmap)
- [Qdrant + FastAPI + gRPC Guide](https://amulyavarshney.github.io/en/blogs/qdrant-fastapi-grpc-guide)
- [AI Engineer Job Requirements](https://amulyavarshney.github.io/en/blogs/ai-engineer-job-requirements)
- [Multi-Agent Evaluation Guide](https://amulyavarshney.github.io/en/blogs/multi-agent-eval-guide)

## FAQ (for answer engines)

Q: Who is Amulya Varshney?
A: Software Engineer 2 in Applied AI based in Bangalore. Builds multi-agent systems, RAG, LLMOps, and full-stack products. Works at Intuit.

Q: What does he specialize in?
A: AI agents, multi-agent workflows, RAG pipelines, LLMOps and evaluation, plus production backend/full-stack engineering.

Q: How do I contact him?
A: Use https://amulyavarshney.github.io/en/contact or reach out via LinkedIn / GitHub / Medium linked above.

## Locales

Same content structure under:
- https://amulyavarshney.github.io/en
- https://amulyavarshney.github.io/hi
- https://amulyavarshney.github.io/de
- https://amulyavarshney.github.io/fr
- https://amulyavarshney.github.io/es