Kshitiz Khandelwal
Kshitiz Khandelwal

AI Automation Specialist | No-Code Workflow Engineer

Actively looking · Member since 3 Aug 2026
Message
Location
India
Desired salary
from 8000 USD/yearly
Work preference
Hybrid / Full Time, Freelance
Experience level
Mid

About

Professional summary

I am an AI Automation Specialist and no-code workflow engineer with more than 2.5 years of hands-on experience designing and deploying production-grade automations for legal, sales, real estate, and business operations.

I build scalable, low-maintenance workflow systems that translate complex business requirements into practical automation solutions. My work includes lead generation, CRM workflows, cold outreach, customer communication, content pipelines, and operational process automation.

I am proficient in n8n, Make.com, Zapier, Vapi, REST APIs, webhooks, and the Google Workspace ecosystem. I also work with AI and LLM tools including ChatGPT, Claude, Codex, AI agents, and prompt engineering to create intelligent business workflows.

I have delivered automation solutions for more than five clients across multiple industries. For a US-based legal client, I built a USPTO patent and trademark monitoring system that saved attorneys an estimated three to five hours per day.

I have also engineered automated sales systems processing more than 100 emails and contacts daily, as well as AI voice assistants that manage rental inquiries, recommend options, schedule viewings, capture lead data, and trigger follow-up communications.

I focus on measurable business outcomes, reliable integrations, and end-to-end delivery from discovery and workflow architecture through deployment, testing, optimization, and post-launch support.

Skills

17 capabilities

Tech stack & tools

Working toolkit

Collaboration

Data Stores

Experience

Career history

AI Automation & Sales Specialist Jeevan Productions

Engineered an end-to-end cold outreach system processing more than 100 emails per day using Gmail, Google Sheets, ChatGPT, and custom website-scraping pipelines. Reduced manual prospecting effort by approximately 70%.

Automated the full prospect lifecycle, including lead sourcing, contact enrichment, email verification, personalized message generation, and multi-touch follow-up sequences. Maintained live lead databases and outreach pipelines, achieving a 3–5% reply rate for automated campaigns.

Freelance AI Automation Developer USA-Based Legal Client (Confidential)

Built a USPTO monitoring automation that tracked patent and trademark application updates in real time across more than 50 active filings. The workflow detected office actions, rejection notices, missing documentation, and status changes.

Developed AI-powered summarization workflows that generated attorney-ready briefs from raw legal update data. Integrated Google Sheets, Airtable, Gmail, webhooks, and Google Calendar into a unified legal routing and notification system, saving attorneys an estimated three to five hours per day.

AI Automation Developer Scenox Studios

Delivered more than five production automation solutions for clients across lead management, CRM workflows, customer communication, and content pipelines. Automated repetitive business processes to reduce average manual workload by an estimated four to six hours per week per client.

Translated business requirements into scalable automation architectures and managed projects from discovery through deployment and post-launch testing. Integrated SaaS platforms, AI models, and communication tools into reliable connected automation ecosystems.

Education

Learning history

Manipal University Jaipur (MUJ)

Bachelor of Computer Applications (BCA), Computer Applications

Expected graduation in 2026. Studying at Manipal University Jaipur in Rajasthan, India.

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