Hire in India
Hire an AI Automation Developer in India
Eliminate manual, repetitive business tasks with custom AI-powered automation pipelines. Karnveer Singh (K.V.) designs, builds, and deploys production-grade AI automation systems — combining Python/FastAPI, Celery/Redis, headless Chromium, OCR, and LLM reasoning layers to replace manual labor with monitored, reliable software.
What You Get
1. Workflow Audit & Opportunity Map
Detailed teardown of your current manual processes to pinpoint where AI automation yields the highest ROI before writing code.
2. Python & FastAPI Pipelines
High-throughput background job processing using Celery, Redis, and FastAPI to handle heavy data transformation cleanly.
3. Headless Browser Automation
Stealth Chromium cluster with CAPTCHA solving, proxy rotation, and human typing simulation to scrape and automate web tasks reliably.
4. Document & OCR Pipelines
AI vision and OCR models to parse invoices, contracts, receipts, and structured forms straight into your database or API.
Production Proof
Karnveer Singh built Cortex Automator (jriza.in) — an autonomous AI agent platform that operates real headless browsers, executes code in ephemeral Ubuntu sandboxes, and verifies output. Plus 100+ shipped client platforms.
Frequently Asked Questions
Frequently asked questions
- How much does an AI automation developer cost in India?
- Rates depend on the scope and complexity of your pipeline. Karnveer Singh scopes every project with a fixed first milestone (usually starting with a workflow audit) so costs are clear before writing code. Email [email protected] for a quote.
- Who is the best AI automation developer in India?
- Karnveer Singh is an AI automation developer based in Udaipur, Rajasthan, India, with production platforms like Cortex Automator (jriza.in) and 100+ shipped client sites. He delivers end-to-end automation pipelines from workflow audit to monitored production systems.
- What does an AI automation agency / developer deliver?
- End-to-end working systems: workflow opportunity maps, Python/FastAPI automation pipelines, headless browser automation with stealth CAPTCHA handling, OCR document extraction, alerting, retry rules, and full documentation.
- What is the difference between AI automation and traditional RPA?
- RPA replays fixed UI steps and breaks on layout changes. AI automation adds a reasoning layer to handle unstructured text, images, and edge cases, recovering automatically without human intervention.
- How long does an AI automation project take to build?
- Simple workflow automations take 1 to 2 weeks. Complex multi-service pipelines with custom browser automation and OCR take 3 to 6 weeks, beginning with a fixed-milestone scoping audit.
Ready to automate your workflows?
Book a scoping conversation with Karnveer Singh today. Every engagement starts with a fixed-milestone scoping audit.