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Shahvaiz Ahmed Data & AI Automation
Autonomous Multi-Agent Architecture

Business Process Workflow Automation & AI Agents

I design and deploy custom autonomous AI agents, self-hosted n8n workflows, and Python scraping engines that turn manual operational bottlenecks and Excel-heavy processes into scalable, self-healing revenue machines.

20+ Hrs/Wk

Manual prospect research, company qualification, and CRM entry eliminated per rep.

4.6x Lift

Higher outbound email reply rates through hyper-personalized Claude 3.5 Sonnet value props.

< 48 Hours

Rapid deployment turnaround for initial functional webhook & agent prototype.

What I Build for Revenue & Operations Teams

1. Custom Intent Scraping & Entity Extraction (Python / Playwright)

Automated async web scrapers built with Python, Playwright, and BeautifulSoup. Bypass bot blockers to gather deep company intent data, hiring trends, job openings, tech stack footprints, and executive announcements from registries and LinkedIn.

2. n8n Multi-Agent ICP Scoring & Cold Email Personalization

Multi-node n8n reasoning agents using Claude 3.5 Sonnet and GPT-4o. The AI agent analyzes extracted signals against your ideal customer profile (scoring 1–10) and auto-drafts 3 tailored value angles for each decision maker.

3. Automated CRM Upsert & Real-Time Slack Dispatch

Seamless bidirectional sync with HubSpot, Salesforce, MS SQL Server, or Postgres databases with zero duplicate records and automated Slack notifications for high-priority leads.

PROVEN OUTCOME

B2B SaaS Outbound Lead Generation Engine

Saved 20+ hours/week per rep and generated $165k in pipeline on autopilot for a high-growth B2B software company.

Read Case Study

Ready to Automate Your Manual Operations?

Let's discuss your current manual bottleneck on a quick 15-minute call and scope an autonomous AI agent solution.