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.
Every inefficient process has a price tag. Most businesses don't realize what they're losing — until they automate.
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 PipelineA 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 PipelineCompanies lose 25% of revenue from CRM errors — wrong pipeline stages, duplicate contacts, VIP customers slipping through unnoticed for days.
→ Enterprise CRM Revenue AutomationOnly 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 PlatformGovernment portals post 500+ bids daily. Manual monitoring means missing 90%+ of relevant opportunities. Every missed bid is lost pipeline.
→ BidVeritas Procurement IntelligenceEnterprise 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.
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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.
BYOK design — data never leaks, keys never persist. Every pipeline enforces strict E.164, email normalization & idempotent writes. Garbage never enters your CRM.
Stateful multi-agent LangGraph pipelines that route, analyze, interview, and decide — with zero human intervention from trigger to output.
Kubernetes HPA auto-scaling 2→10 pods. Serverless fan-out. Exponential backoff retry. Your automation runs 24/7 even under peak load.
From ATS intake to booked interview. From PDF upload to structured JSON. From payment webhook to VIP Slack alert. Full pipelines, not partial scripts.
Each system below eliminated a real business bottleneck. Production-hardened, not demos.
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.
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.
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.
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.
Production-grade 3-tier multimodal RAG pipeline for Architecture, Engineering & Construction — autonomously extracts structured material data from raw commercial construction PDFs.
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.
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.
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.
Production B2B SaaS monitoring government procurement portals via stealth browser automation — 25 parallel workers, anti-captcha bypass, serverless containers.
Complete trading platform: Gemini 2.5 Pro macro bias engine, TwelveData real-time data, MT5 AutoTrade queue. Automated reporting to Telegram (12,000+ subscribers).
"Read-Calculate-Write" pipeline on n8n — live webhook ingestion → HubSpot CRM lookup → real-time financial aggregation → non-destructive write-back. 100% calculation accuracy.
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.
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.
Not demos. Production systems with measurable business outcomes.
Manual claims triage causing massive bottlenecks and subjective fraud analysis across thousands of daily insurance claims.
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.
Businesses losing high-intent leads due to missed inbound calls, after-hours inquiries, and expensive human receptionists.
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.
Manual metadata tagging and disjointed ingestion of large architectural media exports (Revit, D5) leading to untraceable assets and duplicated work.
A decoupled n8n dual-workflow architecture triggering multimodal AI (Gemini) for tagging, generating 3072-dimensional pgvector embeddings, with a custom JavaScript "State Preservation Engine".
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.
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.
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.
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.
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.
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.
Want results like these for your business?
Book a Free Automation Audit →Accelerating B2B platforms from zero-state prototype to production-grade automation infrastructure.
-- 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);
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.
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.
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.
A proven 4-step process from bottleneck identification to production deployment.
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.
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.
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.
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.
How I think about system design at scale.
Router → Retrieval → Analyst → Citation → Guardrail. Stateful pipeline for SEC financial analysis across 50 S&P 500 companies.
Zero persistent compute. Atomic PostgreSQL RPC guarantees exactly-one fan-out — prevents thundering-herd SQS storms.
"Bring Your Own Key" — LLM API keys processed in-memory, never persisted server-side. Enterprise security & compliance ready.
"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."
"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."
"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."
Tell me your biggest manual bottleneck. I'll show you exactly how to automate it — free, no commitment required.