Building production-grade AI pipelines, multi-agent architectures, and cloud-native systems that scale. Not a prototype builder — I ship enterprise solutions.
Production-grade AI engineer specializing in zero-leakage, cloud-native architectures that bridge no-code platforms (n8n, Make.com, Zapier) with custom Python backends and multi-agent AI pipelines.
Proven track record designing enterprise RAG systems and Kubernetes (AWS EKS) deployments — not a prototype builder. Every system I ship is idempotent, fault-tolerant, and production-hardened.
From a 5-Node LangGraph state machine analyzing S&P 500 financials, to serverless fan-out architectures processing construction PDFs at 98.8% accuracy — I build systems that work under real-world conditions.
BYOK design — LLM API keys processed in-memory, never persisted server-side. Enterprise security & compliance ready.
Designed stateful LangGraph pipelines with Router → Retrieval → Analyst → Citation → Guardrail nodes for autonomous financial analysis.
Kubernetes HPA scaling 2→10 pods automatically. Event-driven serverless fan-out with zero persistent compute.
End-to-end pipelines: ATS → CRM → AI Voice → Calendar booking. Zero human intervention, fully idempotent.
Every project is production-hardened, not a demo.
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.
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."
Ready to ship production-grade AI? Let's talk.