AI Deploy Network
Zarak Khan

AI Deploy Network / Builder

Zarak Khan

AI Engineer & SaaS Developer

PakistanislamabadSeniorAvailable Now

Published evidence

1 AI Deployment

1 publicly identified

01

About Zarak

AI Engineer & Full-Stack Developer specializing in high-speed AI agents, custom workflows, and backend API integrations. Built and deployed solutions like the Apex AI Intake Engine—a sub-2-second latency AI agent engineered with Python, Flask, and Groq (Llama-3) to automate lead qualification and sync real-time CRM payloads.

I help businesses, agencies, and SaaS founders eliminate operational bottlenecks by designing resilient, production-ready AI systems, automated webhooks, and scalable backends. Available for high-impact project work and contract engagements.

Professional profile

Location
islamabad, Pakistan
Time zone
Asia/Karachi
Work mode
Remote
Availability
Available Now
Industry experience
2+ years
Languages
English, Urdu
Working hours
Flexible / GMT & EST Alignment
Typical response
Within a few hours
Preferred engagement
Small (individual or single team)
Travel
Occasional travel
Available in
United Arab Emirates, United States, United Kingdom, Albania, Algeria, American Samoa, Andorra, Argentina, Australia, Austria, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bermuda, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, British Indian Ocean Territory, British Virgin Islands, Brunei, Bulgaria, Burkina Faso, Burundi, Cambodia, Cameroon, Canada, Cape Verde, Cayman Islands, Central African Republic, Chad, Chile, China, Christmas Island, Cocos (Keeling) Islands, Djibouti, Denmark, Czechia, Cyprus, Cuba, Croatia, Côte d'Ivoire, Costa Rica, Cook Islands, Congo - Kinshasa, Congo - Brazzaville, Comoros, Colombia, Bahamas, Azerbaijan, Aruba, Armenia, Antigua and Barbuda, Antarctica, Anguilla

02

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

Reported business outcomes
  • Hours Automated20 hours

    period not specified

    Automated 20 hours (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

03

What Zarak builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

Agentic Workflow Automation

AI Agents

Autonomous Agents

Intelligent Automation

Multi-Agent Systems

Builder-listed deployment types

  • AI Agent
  • Customer Service Automation
  • Customer Support Agent
  • Sales Agent
  • Workflow Automation

04

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

Apex AI Intake Engine: Sub-2s Latency AI Agent for Instant Lead Qualification & CRM Sync

An ultra-fast Python/Flask AI intake agent powered by Groq and Llama-3 that qualifies incoming marketing leads in under 2 seconds, eliminates response latency, and syncs structured payloads directly into client CRMs via automated webhooks.

20 hours automated

Marketing & Advertising · AI Agent · Customer Service Automation · Customer Support Agent · Sales Agent · Workflow Automation

View Deployment

05

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

  • AI Agent1 record
  • Customer Service Automation1 record
  • Customer Support Agent1 record
  • Sales Agent1 record
  • Workflow Automation1 record

Builder declared

  • Agentic Workflow Automation
  • AI Agents
  • Autonomous Agents
  • Intelligent Automation
  • Multi-Agent Systems

06

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

  • Agent Skills1 record
  • Atomic Agents1 record
  • Flask1 record
  • Groq1 record
  • Python1 record

Builder declared

  • Bee Agent Framework

07

Industry experience

Published Deployments support the listed counts. Other industries are Builder declared.

Marketing & Advertising

1 published Deployment

Cross-Industry / Horizontal

Builder declared

E-Commerce

Builder declared

IT Services & Systems Integration

Builder declared

Software & SaaS

Builder declared

08

Trust & verification

A closer look at how this profile and its evidence are reviewed.

Community Member

Published evidence is reviewed against the AI Deploy Network Evidence Standard.

How verification works
Community

Verified Builder

Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

How this is verifiedWhat the platform has established, and what remains builder-declared.
Identity and organisation
Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
AI Deployments
An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
Business outcomes
Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
Evidence
Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
Currency
Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
Traceability
Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

The platform does not independently audit client systems or financial records. How this is verified

Professional record and further evidence

Client Portfolio

Portfolio started
  • US Home Services & Marketing Agency

    Confidential

    AI Agent & Automation Deployment • Professional Services

    United States2026

    Architected and deployed a high-speed Python/Flask AI intake agent utilizing Groq/Llama-3 for sub-2-second response latency. Replaced manual response delays with instant webhook qualification and direct CRM payload integration, stopping lead slippage and boosting immediate response rates.

    1 AI Deployment
    Hours
    20

Ready to discuss your AI implementation?

Tell Zarak Khan what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.