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I will build ai lead gen pipelines, data extraction, and CRM sync
Zeeshan
Acerca de este Servicio
Stop buying dead lead lists. Build an engine that finds, enriches, scores, and routes your ICP automatically.
I engineer production-grade, end-to-end lead-generation pipelines on self-hosted n8n infrastructure. Your data will pull from sources like Apollo, LinkedIn, and Google Maps, cascade through verification enrichment providers, score buyer intent via custom OpenAI workflows, and route to your CRM with complete deduplication.
Core Engineering Deliverables:
- Multi-Source Extraction Orchestrator: Cursors, rate-limit handling, and incremental syncs.
- Waterfall Enrichment Engine: Cascading providers (Clearbit/Hunter/PDL) with data merge logic.
- AI Intent Classifier: OpenAI Function Calling schema, custom-prompted for firmographic signals.
- CRM Sync Engine: Complete upsert logic, custom field mapping, duplicate prevention, and activity logs.
- Observability & Governance: Pipeline metrics backed by PostgreSQL and failure notifications.
Message me with your requirements before ordering.
Conoce a Zeeshan
Zeeshan
Self Hosted n8n Architecture, OpenAI Agent Orchestration, Lovable Vercel Front
- DePakistán
- Miembro desdeene 2020
Idiomas
Inglés
AI Automation Engineer specialising in self-hosted n8n infrastructure, OpenAI Agent Orchestration (Assistants API, Function Calling, RAG), and AI-native Frontend Development (Lovable, Bolt, Vercel/Next.js). I build production-grade data pipelines, RAG knowledge bases, AI lead qualification pipelines, and CRM sync engines—not "no-code templates." Stack: Self-hosted n8n (Docker/K8s), OpenAI Assistants/Assistants API, Supabase/Postgres, Vercel, Lovable.dev, Bolt.new. I deliver production infrastructure, not templates. Message me with your architecture requirements before ordering.
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FAQ
Do you provide the Apollo, LinkedIn, or Clearbit API keys?
No. You provide your own API credentials. I build the robust infrastructure to consume them efficiently with absolute rate limiting, caching, and token cost controls.
How does the AI scoring actually work? Is it just a prompt?
It uses structured Function Calling combined with few-shot prompting. I seed the system prompt with your historical won/lost parameters to enforce precision routing rules.
Can this handle GDPR/CCPA compliance configurations?
Yes. Premium infrastructure architecture includes consent tracking fields, right-to-be-forgotten webhooks, and secure logging to comply with local data residency laws.
What if my CRM setup contains highly customized objects or fields?
The Standard and Premium workflows include a structured field mapper configuration layer, allowing you to seamlessly map new enrichment outputs to custom fields without editing code.
