Available for select opportunitiesDelhi NCR, India

Anurag Srivastav Independent thinking. Production engineering.

Anurag Srivastav — AI AUTOMATION ENGINEER.

AI automation engineer in India, based in Delhi NCR, specializing in n8n workflows, LLM applications and Python integrations. I build production systems with FastAPI, LangGraph and Supabase.

AI Automation EngineerAI Automation Developern8n & LLM Workflows
Selected work from prior roles includes projects involving HPIntelBMRC HospitalA little context
1+

Years of Professional Experience

4

Documented AI Projects

200+

Reported Outreach Emails / Day

3

Training & Certificates

About Me

AI Engineering & Automation For Your Business

I'm Anurag Srivastav, an AI Automation Engineer based in India — currently the first dedicated AI hire at EZ Rankings, automating SEO and digital marketing operations. Before that, during employed roles, I contributed to documented AI and automation projects involving HP, Intel and BMRC Hospital.

I design, develop and deploy end-to-end AI solutions — from LLM integration and AI agents to scalable backend infrastructure. Where portfolio metrics are shown, I label them as reported outcomes unless the underlying benchmark is publicly available.

In practice, this overlaps with AI automation developerwork: connecting APIs, model calls, workflow tools, databases and backend services into maintainable systems rather than isolated demos.

Explore AI automation, n8n and LLM development services →
01

AI & LLM Integration

Designing, integrating and deploying LLM-powered systems into production.

02

Workflow Automation

End-to-end automation pipelines with explicit state, retries, logging and measurable outcomes.

03

AI Agents

Bounded AI agents with explicit states, limited tools, approval paths and observable actions.

04

Backend Development

Scalable Python & Node.js backends powering AI workloads.

05

Cloud & DevOps

Containerised, reproducible infrastructure for automation services and AI application workloads.

06

Production Deployments

Shipping maintainable AI and automation into operational environments, with clear failure handling.

AI AutomationLLM Developmentn8n WorkflowsGPT-4AI AgentsPythonNode.jsDockerSupabaseProduction AI
Case Studies

Featured Projects

01Automation

AI Outreach Automation Pipeline

Outreach workflow that enriches lead data, drafts personalized GPT emails and sends through SMTP. The portfolio reports a sending volume of 200+ emails per day.

How it works
  1. 01 Approved lead data
  2. 02 Enrich
  3. 03 GPT draft
  4. 04 Send + log

Authorized lead data is enriched, used to draft personalised email content, then sent and logged through the workflow. Illustrative.

Read the case study and results →
OutcomeReported 200+ emails / day
Stack

n8n · GPT-4 · Supabase · SMTP · Twilio

02Feedback Automation

BMRC Hospital AI Feedback Agent

Enterprise AI workflow that processes multilingual patient feedback, runs sentiment analysis, routes tickets automatically and sends Gmail notifications.

How it works
  1. 01 Feedback in
  2. 02 Sentiment scan
  3. 03 Route
  4. 04 Notify team

Patient feedback passes through a sentiment scanner and is routed to the right team. Illustrative.

Read the case study and results →
OutcomeMultilingual sentiment routing
Stack

n8n · OpenAI · Supabase · Gmail API

03Desktop App

Gignaati Docker Automation App

Desktop application for one-click AI stack deployment — Docker automation, n8n & Ollama installation, auto dependency resolution and health monitoring.

How it works
  1. 01 One click
  2. 02 Containers up
  3. 03 Health checks
  4. 04 Ready

One click pulls the containers into place, then health checks light up. Illustrative.

Read the case study and results →
OutcomeReported 85% shorter deployment
Stack

Electron.js · Docker · Node.js · Ollama

04Voice AI

AI Voice Agent

Real-time conversational voice AI with streaming audio, OpenAI integration and WebSocket communication. The portfolio reports sub-200ms latency, with benchmark methodology not yet published.

How it works
  1. 01 Voice in
  2. 02 Stream
  3. 03 Reason
  4. 04 Speak back

A live voice ripples through the model in real time. Move your cursor to steer it. Illustrative.

Read the case study and results →
OutcomeReported < 200ms latency
Stack

OpenAI · WebSockets · Streaming Audio

Community

Events & Highlights

AI Manthan 2026

Speaking sessions, workshops and community work — from AI summits to an AI programme for 200+ PhD educators.

Focus Areas

Specialization

01

Enterprise AI Systems

02

AI Automation

03

AI Agents

04

LLM Integration

05

Workflow Automation

06

Backend Development

07

Production Deployment

08

Cloud Infrastructure

AI Automation Engineer in India

I'm Anurag Srivastav — an AI Automation Engineer at EZ Rankings. My documented portfolio covers n8n workflows, LLM applications, multilingual feedback routing, deployment automation and prior employed-role projects involving HP, Intel and BMRC Hospital.

Read the AI Automation Engineer requirements guide →
  • 01Reported outreach volume: 200+ emails / day
  • 02Reported deployment-time reduction: 85%
  • 0310-day AI training delivered to 200+ PhD professors
  • 04Prior employed-role projects involving HP, Intel & BMRC Hospital

Technologies: OpenAI / Claude / LangGraph / n8n / RAG / AI Agents / Python / Supabase

Let's Connect

LET'S BUILD SOMETHING SMART

I'm always interested in discussing AI engineering, automation projects, LLM applications, freelance opportunities and full-time roles.

Say hiAnurag SrivastavAI Automation Engineer · New Delhi
Email
[email protected]
Phone
+91 8851800230
Location
Delhi NCR, India

Open to: AI Engineering · Automation Projects · LLM Applications · Enterprise AI · Backend Systems · Open Source · Freelance Opportunities · Full-time Roles