Autonomous Systems • LLM Integration • RAG Pipelines

AI Automation &
AI Agents Engineering.

I architect production-grade AI agents, conversational WhatsApp bots, and intelligent workflow automations that automate routine customer inquiries, triage support tickets, and connect LLM reasoning directly to business databases and APIs.

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Production Standards: Structured JSON Outputs Multi-Tenant Supabase RLS WhatsApp Business API Zero Hallucination Guardrails
hasnain@system:~$ ai-agent --status
$ agent_framework: "Autonomous Tool-Calling"
$ llm_providers: ["OpenAI GPT-4o", "Claude 3.5", "Gemini 1.5"]
$ orchestration: "n8n Workflows + Python APIs"
$ context_engine: "PostgreSQL RAG / Vector Embeddings"
$ flagship_deployment: "Hukum AI (hukum.tech)"
$ support_automation: "Automated FAQ & Triage"
$ uptime: ● Production-Tested Architecture
High-Impact Engineering

What Problems Does AI Automation Solve?

Moving past simple prompt demos to deliver resilient, business-critical systems that cut operational overhead and eliminate latency.

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24/7 Multi-Channel Support

Businesses waste hundreds of hours answering repeated product, pricing, and onboarding inquiries across WhatsApp and web widgets.

Solution: Self-service conversational bots powered by RAG that answer questions accurately from company documents, book appointments, and escalate complex tickets to human operators.

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Document & Resume Screening

Recruitment teams drown in hundreds of unstructured resumes for every job opening, taking days to identify qualified candidates.

Solution: Automated ingestion pipelines that parse PDF/Word resumes, evaluate criteria against job descriptions via LLMs, score candidates, and update Zoho Recruit and GoHighLevel instantly.

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CRM & Webhook Ingestion

Disjointed business software causes data silos between lead capture forms, payment processors, and customer databases.

Solution: Resilient webhook workflows with n8n and Python microservices that transform payloads, validate schemas, trigger AI enrichment, and keep records synchronized in real time.

Proven Deployments

Production AI Systems I Have Built

Real-world software running in production with live users, database isolation, and measurable impact.

Flagship SaaS ● Live in Production
2026

Hukum AI (hukum.tech)

Multi-tenant self-service SaaS AI Chatbot platform automating routine customer support inquiries across website widgets and WhatsApp Business API.

Engineering Highlights:
  • Architected backend Flask REST API and Supabase (PostgreSQL) schema with Row-Level Security (RLS) policies.
  • Built dynamic prompt engineering dashboard allowing non-technical business owners to configure tone, FAQs, and rules.
  • Integrated WhatsApp Cloud API webhooks with zero-downtime message dispatch and human operator fallback handoff.
React (Vite) Python / Flask Supabase (PostgreSQL) WhatsApp API DigitalOcean
https://hukum.tech
Visit Platform ↗ Case Study
Automation ● Production Client Pipeline
2026

AI HR Candidate Screening Pipeline

Automated recruitment workflow built with n8n, OpenAI API, Zoho Recruit, and GoHighLevel. Evaluates incoming applicant resumes against job requirements and routes candidates dynamically.

Engineering Highlights:
  • Webhook ingestion listener that unpacks PDF/Word resume attachments and extracts key career signals.
  • Strict JSON schema prompt evaluation measuring technical stack alignment, experience years, and seniority.
  • Synchronizes candidate scores, attaches structured evaluation notes, and updates CRM status tags in Zoho and GHL in parallel.
n8n Automation OpenAI API Zoho Recruit API GoHighLevel Webhooks
Client Production
Case Study
Engineering Methodology

How I Architect Reliable AI Systems

Why production AI automation requires software engineering discipline, not just copy-pasted prompts.

1. Intake & Validation
Webhooks / REST / Form
Payload sanitization, rate-limit guards, schema checks
→
2. Context Retrieval (RAG)
Supabase PostgreSQL
Tenant isolation via RLS, vector semantic search
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3. Structured LLM Reasoning
OpenAI / Claude / Gemini
Tool calling, strict JSON output schema, temperature guards
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4. Action & Fallback
WhatsApp / CRM / DB
Automated dispatch, transactional logs, human escalation
Reliability Principle
Deterministic tool execution with structured fallback to prevent LLM hallucinations
Data Privacy Guard
Strict multi-tenant security ensuring business documents remain fully isolated
Execution Speed
Sub-2 second response turnaround on conversational chat widgets
Hire AI Specialist

Ready to Automate Your Business Workflows?

Let's discuss how custom AI agents, WhatsApp bots, and n8n workflows can save hundreds of operational hours.

Engagement Channels

Available for milestone-based contracts on Upwork, quick turnaround packages on Fiverr, or direct client agreements.

✉️

Email

hasnainaltaf30@gmail.com
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Phone / WhatsApp

+92 336 2478759
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Upwork Direct Profile

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Fiverr Service Gig

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Location

Karachi, Pakistan (Serving Global Clients)