B2B Automation Agency · AI Systems Engineer · Worldwide

MUJEEB AHMAD

AI Automation Agency · Multi-Agent Systems · CRM & Workflow Automation

Businesses lose thousands of hours yearly to manual workflows, broken CRM data, and missed leads. I build production-grade AI automation that eliminates those bottlenecks — permanently. Not demos. Real systems running 24/7.

agent_pipeline.py ● RUNNING

            
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Enterprise Projects
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Automation Systems
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Users Impacted
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Accuracy Rate
Zero Data Leakage

The Hidden Costs Killing Your Business

Every inefficient process has a price tag. Most businesses don't realize what they're losing — until they automate.

👥
HR · Staffing · Logistics

Your recruiters are drowning in applications

The average recruiter wastes 23 hours/week on manual screening. At $35/hr that's $42,000/year burned per recruiter — on tasks a pipeline handles in seconds.

→ Autonomous AI Recruitment Pipeline
🏗️
AEC · Construction · Real Estate

Senior estimators are doing data entry, not estimation

A senior estimator manually processing PDFs costs $225/document + 4–8 hours. One project = 100+ docs = 800+ hours of senior talent wasted on copy-paste.

→ AEC Document Intelligence Pipeline
💸
SaaS · E-commerce · Revenue Ops

Your CRM is full of dirty data and missed VIPs

Companies lose 25% of revenue from CRM errors — wrong pipeline stages, duplicate contacts, VIP customers slipping through unnoticed for days.

→ Enterprise CRM Revenue Automation
📞
B2B Sales · Marketing Agencies

Your sales team is cold-calling the wrong people

Only 2% of cold outreach converts. Shifting to high-intent lead targeting (prospects already searching for your solution) increases conversion by 10–15×.

→ LeadFlow AI Prospecting Platform
📋
Contractors · Procurement · Legal

You're missing government procurement bids every week

Government portals post 500+ bids daily. Manual monitoring means missing 90%+ of relevant opportunities. Every missed bid is lost pipeline.

→ BidVeritas Procurement Intelligence
📝
Legal · Immigration · Insurance · HR

Manual form-filling is draining your team's time

Enterprise employees spend 10+ hours/week on data entry from documents. For a 50-person team: 500 hours/week wasted on tasks AI handles in 5 seconds.

→ Propace AI Autofill (10,000+ users)

Recognize your business in one of these? Let's eliminate it.

Book a Free Automation Audit →

Who Solves These Problems

Mujeeb Ahmad

Hi, I'm Mujeeb Ahmad

I'm an AI Systems Engineer specializing in autonomous agents, document intelligence, and enterprise-grade automation pipelines.

I'm not a freelancer who builds demos. I run a production-grade AI automation practice that deploys systems eliminating the bottlenecks above — permanently, for real businesses.

Every system I ship is idempotent, fault-tolerant, and zero-leakage by design. My clients don't get prototypes — they get automation infrastructure that runs 24/7, scales on demand, and never corrupts their data.

From eliminating $225/doc manual estimating in AEC firms to running fully autonomous recruitment pipelines for US staffing companies — I build systems that work under real-world production conditions.

🚫

Zero Dirty Data

BYOK design — data never leaks, keys never persist. Every pipeline enforces strict E.164, email normalization & idempotent writes. Garbage never enters your CRM.

🤖

Human-Free Decisions

Stateful multi-agent LangGraph pipelines that route, analyze, interview, and decide — with zero human intervention from trigger to output.

☁️

Never Goes Down

Kubernetes HPA auto-scaling 2→10 pods. Serverless fan-out. Exponential backoff retry. Your automation runs 24/7 even under peak load.

End-to-End Automation

From ATS intake to booked interview. From PDF upload to structured JSON. From payment webhook to VIP Slack alert. Full pipelines, not partial scripts.

Technical Arsenal

🤖

AI & LLMs

LangChain LangGraph RAG Architectures Pinecone Vector Databases Semantic Search Multi-Agent Design Prompt Engineering Claude Sonnet 4.6 Gemini 2.5 Pro Vertex AI Imagen 4 Agentic Workflows Self-Healing JSON
☁️

Backend & Cloud

AWS EKS/EC2 AWS Lambda AWS SQS + DLQ AWS EventBridge Kubernetes (K8s) Docker FastAPI CI/CD GitHub Actions Auto-Scaling (HPA) Redis Cache Python asyncio Supabase PostgreSQL Modal.com

Automation & CRM

Zapier Webhooks n8n Make.com HubSpot API GoHighLevel ATS Integration LTU Architecture Idempotent Events Code by Zapier
🖥️

Frontend & APIs

React 18 TypeScript Vite Tailwind CSS Framer Motion Chrome Extension API Slack API Telegram Bot API SEC EDGAR API MT5 / MetaTrader Playwright

Automation Systems Deployed

Each system below eliminated a real business bottleneck. Production-hardened, not demos.

ENTERPRISE RAG ● Production

ARIA Claims Intelligence Platform

Orchestrated a sophisticated 12-Agent autonomous pipeline utilizing Claude 4.6 Sonnet and Gemini 3.1 Pro to execute multi-modal insurance claims triage, evidence aggregation, and adversarial debate.

  • Adversarial Debate Engine (Advocate vs Challenger) ensures bias-free claim evaluation
  • Multi-source ETL ingestion with zero-leakage parsing and strict JSON schema normalization
  • Idempotent pgvector embeddings for rapid semantic similarity checks on historical fraud
  • Wait-node logic enforces a strict human-in-the-loop halt gate before final approval
Claude Sonnet 4.6Gemini 3.1 ProLangGraphpgvectorFastAPISupabaseDocker
OWN SAAS ● Live

Brevoca — Inbound Voice AI Platform

Architected a fully isolated, concurrent AI voice SaaS platform enabling businesses to deploy inbound receptionists supporting bilingual interactions (English/Urdu) with real-time CRM state sync.

  • Achieved sub-800ms conversational latency via Deepgram Nova-3 STT and Cartesia Sonic TTS
  • 6-layer prompt architecture with dynamic RAG retrieval and live CRM caller lookup
  • Robust concurrent tenant infrastructure handling 500+ parallel connections on Enterprise tier
  • PKCE OAuth lifecycle management for secure Google Calendar and HubSpot API integrations
Vapi.aiClaude Haiku 4.5DeepgramCeleryRedisPostgreSQLOAuth 2.0
CLIENT ● Production

4-Zone AI Media Asset Pipeline

Engineered a decoupled, dual-workflow serverless architecture in n8n to autonomously tag, embed, and publish massive architectural media exports (Revit, D5) via multimodal AI vision processing.

  • State Preservation Engine engineered via custom JS to resurrect payloads post-Wait nodes
  • Event-driven fan-out pipeline handling synchronous Slack alerts and asynchronous DB upserts
  • Idempotent Supabase publishing using pgvector 3072-dimensional arrays eliminates duplicates
  • Type-safe payload routing based on multi-MIME evaluation and confidence-score fallback
n8nGemini 2.5 PropgvectorServerlessSupabaseWebhooks
ENTERPRISE RAG ● Live

SEC EDGAR Financial Intelligence RAG System

Orchestrated a 5-Node LangGraph State Machine autonomously executing financial analysis, multi-stock comparisons & risk assessments across 50 S&P 500 companies from real SEC 10-K filings.

  • Zero hallucination architecture — 4,000-char chunks with section tags
  • Kubernetes HPA scaling 2→10 pods during high-concurrency queries
  • BYOK architecture — API keys never persisted server-side
  • Exponential backoff: 3-attempt auto-retry handles 120s+ async reasoning
LangChainLangGraphPineconeFastAPIDockerAWS EKSReact/Vite
ENTERPRISE RAG ● Live

AEC Document Intelligence Pipeline

Production-grade 3-tier multimodal RAG pipeline for Architecture, Engineering & Construction — autonomously extracts structured material data from raw commercial construction PDFs.

  • 98.8% accuracy across 84 tags in 75.86 seconds at under $0.12/doc
  • Event-driven serverless fan-out: S3 → EventBridge → SQS → 5 parallel Lambda workers
  • Atomic PostgreSQL RPC guarantees exactly-one fan-out — prevents thundering-herd SQS storms
  • Replaces 4–8 hours of senior estimator work ($225 avg cost) per document
AWS LambdaAWS SQSEventBridgePineconeSupabaseGemini 2.5 ProPyMuPDF
NEW · NDA ● Production

Autonomous Recruitment AI Pipeline — ATS × CRM × AI Voice

Fully autonomous end-to-end recruiting: ATS webhook → Python JSON sanitization → HubSpot CRM sync → AI voice interview → Pass/Fail routing → auto-scheduled calendar booking. Zero human intervention.

  • LTU architecture using unique ATS candidate IDs — zero duplicate contacts
  • Conditional decision engine: PASS → SMS + email with calendar link fires instantly
  • E.164 phone formatting + email normalization — garbage data never enters CRM
  • Live end-to-end tested — zero errors across all paths
ZapierCode by ZapierHubSpot APIAI VoicePythonUS Staffing
CLIENT ● Live

LeadFlow AI — Intent-Based B2B Prospecting Platform

AI-powered B2B prospecting scanning open web & forums for high-intent prospects — shifts from cold-calling to hot-intent targeting via Gemini Pro + Google Search Tool.

  • Lead Scoring algorithm (0–100) grades businesses on custom criteria
  • Self-healing JSON parser handles 8,192-token AI payloads with zero crashes
  • "Executive AI Brief" auto-generates customized pitch per lead on demand
  • Mini-CRM dashboard with localStorage persistence
ReactTypeScriptTailwindGemini 3.1 ProGoogle SearchLeaflet Maps
CLIENT ● Live

Propace Autofill — AI Document-to-Form Chrome Extension

98% OCR accuracy on passports, visas, IDs — autofills any web form in under 5 seconds. Deployed to 10,000+ professionals saving 10+ hours weekly per user.

  • 50+ languages, GDPR compliant, SOC 2 aligned
  • 256-bit encryption, client-side processing
  • Shipped from zero to production as a complete self-contained SaaS
Chrome Extension APIOCRAI Extraction256-bit Encryption
OWN SAAS ● Production

BidVeritas — AI Procurement Intelligence SaaS

Production B2B SaaS monitoring government procurement portals via stealth browser automation — 25 parallel workers, anti-captcha bypass, serverless containers.

  • 4-phase pipeline: scraping → 2-stage AI triage → PDF report → email dispatch
  • Fully cron-scheduled Mon–Fri with SHA-256 amendment detection
  • Race-condition-proof row-level locking
PythonModal.comPlaywrightGemini 2.5 ProSupabaseReportLab
CLIENT ● Live 24/7

ForexFundAI — Institutional-Grade AI Trading Platform

Complete trading platform: Gemini 2.5 Pro macro bias engine, TwelveData real-time data, MT5 AutoTrade queue. Automated reporting to Telegram (12,000+ subscribers).

  • ARIA: 3-persona AI debate (Aggressive / Conservative / Neutral) before any signal
  • Self-learning memory: Claude Haiku auto-generates banned patterns from last 50 outcomes
  • Admin RBAC dashboard, JWT auth, row-level security — production-hardened 24/7
SupabaseDeno/TSGemini 2.5 ProMT5TwelveDataTelegram Bot
CLIENT ● Active

Enterprise CRM & Revenue Pipeline Automation

"Read-Calculate-Write" pipeline on n8n — live webhook ingestion → HubSpot CRM lookup → real-time financial aggregation → non-destructive write-back. 100% calculation accuracy.

  • Conditional VIP routing ($500+ threshold) triggers simultaneous Slack alert + branded email
  • Idempotent webhook handling — prevents all duplicate processing
  • parseFloat()/Number() data integrity layer eliminates string-concatenation bugs
n8nHubSpot APIPythonSlack APIResend API
CLIENT ● Hourly Cron

Autonomous 9-Agent AI Decision Pipeline

Multi-agent decision-making system with 9 specialized AI agents collaborating via GitHub Actions hourly cron. Claude Sonnet 4.6 + Gemini 2.5 Pro powering different reasoning layers.

  • Fully autonomous operation with Supabase state persistence
  • Hourly cron via GitHub Actions CI/CD
PythonClaude Sonnet 4.6Gemini 2.5 ProSupabaseGitHub Actions
CLIENT ● Live

Full-Stack Business Management Platform

Complete double-entry accounting system from scratch — Chart of Accounts, P&L, Balance Sheet, Cash Flow, Bank Reconciliation — automated via PostgreSQL triggers across 20+ RLS-protected tables.

  • Granular RBAC with JSONB permissions, HMAC-signed AI chat tokens
  • 6 Supabase Storage buckets, JSON-LD structured data
React 18TypeScriptSupabasePostgreSQL

Real Automations. Real ROI.

Not demos. Production systems with measurable business outcomes.

Insurance & Insurtech · Enterprise
● Production

ARIA Claims Intelligence Platform

🔴 The Problem

Manual claims triage causing massive bottlenecks and subjective fraud analysis across thousands of daily insurance claims.

🟢 The Solution

A 12-Agent autonomous pipeline utilizing Claude 4.6 Sonnet and Gemini 3.1 Pro for multi-modal evidence parsing, featuring an adversarial "Debate Engine" with a strict human-in-the-loop halt gate.

Results
⏱ 90% Time Saved
🛡️ ZERO Data Leakage
👨‍⚖️ 100% Human Control
Claude 4.6 SonnetGemini 3.1 ProMulti-Agent
B2B SaaS · Voice AI
● Live in Production

Brevoca — Autonomous B2B Inbound Voice AI

🔴 The Problem

Businesses losing high-intent leads due to missed inbound calls, after-hours inquiries, and expensive human receptionists.

🟢 The Solution

A fully isolated, concurrent AI voice platform supporting bilingual (English/Urdu) interactions, real-time CRM lookup, and calendar booking via Vapi, Deepgram, and Claude 4.5 Haiku.

Results
⚡ <800ms Latency
📞 100% Call Coverage
📅 Auto Appointments Booked
VapiClaude 4.5 HaikuDeepgram
Creative Studio Operations · AEC
● Production

4-Zone AI Media Asset Pipeline

🔴 The Problem

Manual metadata tagging and disjointed ingestion of large architectural media exports (Revit, D5) leading to untraceable assets and duplicated work.

🟢 The Solution

A decoupled n8n dual-workflow architecture triggering multimodal AI (Gemini) for tagging, generating 3072-dimensional pgvector embeddings, with a custom JavaScript "State Preservation Engine".

Results
🛡️ ZERO Data Loss
🏷️ 100% Automated Metadata
🔄 Upsert Idempotent Publishing
n8nGemini Propgvector
AEC · Construction · Washington DC
● Validated in Production

AEC Document Intelligence Pipeline

🔴 The Problem

Senior estimators manually processing 100+ construction PDFs per project. Each document: 4–8 hours + $225 in labor cost. One project = 800+ hours of senior talent wasted on copy-paste data entry.

🟢 The Solution

3-tier multimodal RAG pipeline: S3 upload → EventBridge → 5 parallel Lambda workers → structured JSON output. Atomic PostgreSQL RPC guarantees exactly-one fan-out — zero thundering-herd storms.

Results
⏱ 76s Was 4–8 hours
🎯 98.8% Accuracy (84 tags)
💰 $225 Saved per document
✅ $0.12 AI cost per document
AWS LambdaEventBridgePineconeGemini 2.5 ProSupabase
HR · Staffing · US Logistics Firm
● Live in Production

Autonomous AI Recruitment Pipeline

🔴 The Problem

HR team manually screening 200+ daily applications. Each candidate: 15 minutes of recruiter time — phone tags, CRM entry, interview scheduling, rejection emails. All manual, all error-prone.

🟢 The Solution

ATS webhook → Python JSON sanitization → HubSpot CRM sync → AI voice interview → PASS/FAIL routing → auto-scheduled calendar booking. Zero human touch from application to booked interview.

Results
👤 0h Human hours/candidate
⚡ Instant SMS + calendar on PASS
🚫 0 Duplicate contacts (LTU)
✅ 100% Path coverage tested
ZapierHubSpot APIAI VoicePythonCode by Zapier
SaaS · Revenue Operations
● Active

Enterprise CRM Revenue Pipeline Automation

🔴 The Problem

Sales team manually logging payments in HubSpot. VIP donors ($500+) were missed for hours or days. String-concatenation bugs causing calculation errors. Revenue data unreliable.

🟢 The Solution

n8n "Read-Calculate-Write" pipeline: webhook ingestion → HubSpot CRM lookup → real-time financial aggregation → non-destructive write-back. VIP routing ($500+) triggers simultaneous Slack alert + branded email.

Results
💯 100% Calculation accuracy
🔔 Instant VIP Slack alert
🔒 0 Duplicate events processed
✅ Zero Data leakage
n8nHubSpot APISlack APIResend APIPython

Want results like these for your business?

Book a Free Automation Audit →

MVP Scaling: Lovable & Supabase

Accelerating B2B platforms from zero-state prototype to production-grade automation infrastructure.

SYSTEM INTEGRATION MAP
LIVE CONNECTION
🎨
Lovable.dev Frontend
UX Scaffold & Client State
React 18
Supabase Core Engine
Postgres DB & Row Level Security
Postgres
✉️
Auto-logging Gmail daemon
Non-blocking Sync Webhook Router
n8n / API
🧠
AI enrichment worker
Multimodal Parsing Queue
LLM Queue
PostgreSQL Schema: campaigns & contacts SQL
-- PostgreSQL Schema: Campaigns & Contacts with Row Level Security (RLS) CREATE TABLE campaigns ( id uuid PRIMARY KEY DEFAULT gen_random_uuid(), title text NOT NULL, created_at timestamptz DEFAULT now() ); CREATE TABLE contacts ( id uuid PRIMARY KEY DEFAULT gen_random_uuid(), campaign_id uuid REFERENCES campaigns(id) ON DELETE CASCADE, email text UNIQUE NOT NULL, first_name text, last_name text, touchpoints integer DEFAULT 0, enriched_data jsonb ); -- Enable RLS for secure client-side queries (Lovable.dev) ALTER TABLE contacts ENABLE ROW LEVEL SECURITY; CREATE POLICY "Allow read for authorized users" ON contacts FOR SELECT TO authenticated USING (auth.role() = 'authenticated'); -- Complex query optimization index CREATE INDEX idx_contacts_campaign_score ON contacts (campaign_id, (enriched_data->>'enrichment_score') DESC);
01 //

Relational Dashboards & State Control

We leverage the synergy of Lovable.dev and Supabase to spin up rapid, production-ready interfaces. We implement complex relational mappings (like Campaigns, Contacts, and touchpoint tracking) utilizing custom Postgres schemas. Security is enforced directly at the database layer using fine-grained Row Level Security (RLS), allowing the frontend to securely query data with minimal latency.

02 //

Auto-logging Gmail Integrations

We replace manual CRM message logging with non-blocking, autonomous webhooks. When emails are sent or received, background triggers intercept the payload, instantly match them to contact records in Supabase, associate them with active outbound campaigns, and update pipeline stages—maintaining clean data without human error.

03 //

AI enrichment layers

We engineer custom pipelines that ingest raw B2B data (like emails, call transcripts, or scraped websites) and enrich them with targeted information using LLMs. The raw unstructured inputs are parsed and structured into precise JSON schemas that power automated lead qualification, sorting, and outreach customization.

How We Automate Your Business

A proven 4-step process from bottleneck identification to production deployment.

01
🔍

Audit Your Bottlenecks

We map every manual process, data handoff, and human decision point in your workflow. We find exactly where hours are lost, data corrupts, and revenue leaks — with precision.

→ Deliverable: Automation Opportunity Report
02
📍

Design the Automation

We architect the right system for your stack — n8n, Zapier, custom Python, or a full multi-agent AI pipeline. Zero over-engineering. Every component has a purpose.

→ Deliverable: System Architecture Blueprint
03
🛠️

Build & Test in Production

Every system is idempotent and fault-tolerant from day one. We test PASS paths, FAIL paths, and edge cases before go-live. Zero surprises in production.

→ Deliverable: Fully tested automation system
04
🚀

Deploy & Monitor

Cloud-native deployment with logging, alerting, and auto-recovery. Your automation runs 24/7 without you thinking about it. You handle the business. We handle the systems.

→ Deliverable: Live automation running autonomously

Architecture Highlights

How I think about system design at scale.

User Query
Router Agent
Retrieval
(Pinecone)
Analyst Agent
Citation Agent
Guardrail ✓

LangGraph 5-Node State Machine

Router → Retrieval → Analyst → Citation → Guardrail. Stateful pipeline for SEC financial analysis across 50 S&P 500 companies.

S3 Upload
EventBridge
SQS Queue
Controller λ
→ × 5
Parallel Workers

Serverless Fan-Out Architecture

Zero persistent compute. Atomic PostgreSQL RPC guarantees exactly-one fan-out — prevents thundering-herd SQS storms.

Client API Key
In-Memory Only
LLM Call
Never Persisted ✓

Zero-Leakage BYOK Architecture

"Bring Your Own Key" — LLM API keys processed in-memory, never persisted server-side. Enterprise security & compliance ready.

Education & Certifications

🧠

Fundamentals of AI Agents Using RAG and LangChain

IBM / Coursera 2026
🤖

AI Agents & Multi-Agent Systems

Certification 2026
🎓

AI for Business Strategy

Columbia University 2024
📊

Social Media Marketing

HubSpot Academy Feb 2026
🔍

SEO Specialization (5 Courses)

UC Davis via Coursera Feb 2026
💼

Foundations of Business Strategy

University of Virginia, Darden Feb 2026
🌐

Fundamentals of Digital Marketing

Google Digital Garage Aug 2025
🏆

Executive Diploma of CEO

MTF Institute Aug 2025
💻

Intermediate in Computer Science

Govt. College, Sahiwal 2021

What Clients Say

★★★★★

"Mujeeb built an end-to-end AI recruitment pipeline that handles hundreds of applicants daily with zero human intervention. The system is flawless — every candidate routed, interviewed, and scheduled automatically."

HR
HR Director US Staffing & Logistics Firm
★★★★★

"The AEC document extraction pipeline replaced 6 hours of manual estimator work with a 76-second automated process. The 98.8% accuracy is remarkable. This paid for itself in week one."

AE
Senior Estimator AEC Construction Firm, Washington DC
★★★★★

"The ForexFundAI platform with the ARIA 3-persona debate system is genius. It's production-hardened 24/7, serving 12,000+ Telegram subscribers with zero downtime. Exactly what institutional trading requires."

FF
Fund Manager ForexFundAI · forexfundai.com

Book a Free Automation Audit

Tell me your biggest manual bottleneck. I'll show you exactly how to automate it — free, no commitment required.

Phone / WhatsApp +92 302 584 3504
Location Sahiwal, Punjab, Pakistan · Remote Available
Architecture Setup

      
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🟢 Technical Solution

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