Danish S.
Senior AI Engineer & Automation Architect | Top Rated | 7+ Years
I built production ready AI system that actually work after you close the Zoom call. Most AI freelancer build demos. I build system that run in production, handle real data, recover from failures, and scale without breaking. That's why I've kept a 100% Job Success Score and Top Rated status on Upwork. My clients are agencies, SaaS startups, and businesses who have been burned by AI prototypes that never shipped. IF YOU ARE STRUGGLING WITH : 1. AI agents that break in production after demos look great 2. n8n workflows that cannot scale past a few hundred runs 3. GHL systems that lose leads or misfire automations 4. RAG pipelines that hallucinate or return irrelevant results 5. Backend APIs that fail under real load 6. AI prototypes that have been stuck for months YOU ARE IN THE RIGHT PLACE. WHAT I BUILD AND WHAT YOU GET AI AGENTS & LLM SYSTEMS 1. multi agent systems with langGraph and LangChain supervisor pattern, not framework glue 2. RAG pipeline with hybrid retieval, reranking and citation-grounded responses 3. Tool calling, function execution, and structured output enforcement 4. Memory management and context handling across multi-turn conversations 5. Production AI agents with monitoring, fallback logic, and human escalation n8n/zapier & WORKFLOW AUTOMATION 1. Complex n8n workflows built for production error handling, retry logic, execution logs 2. Webhook orchestration and event-driven automation 3. API integrations: REST, OAuth, webhooks across any platform 4. Human-in-the-loop approval workflows 5. Self-hosted n8n deployment on your infrastructure GOHIGHLEVEL EXPERTISE 1. GHL workflow automation: pipelines, triggers, custom values, conditional logic 2. AI voice agent integration with Vapi and Retell AI inside GHL 3. White-label SaaS mode setup and Snapshot architecture 4. Lead capture, qualification, and multi-rep routing systems 5. Funnel and automation optimisation BACKEND ENGINEERING 1. Python and FastAPI high-performance, production-ready APIs 2. PostgreSQL with pgvector for AI-powered data retrieval 3. Async systems, background workers, and job queues 4. Docker and cloud deployment on AWS, Railway, Azure and GCP 5. Secure authentication: JWT, OAuth, row-level security WHAT EVERY ENGAGEMENT INCLUDES 1. Production-ready code with error handling and logging from day one 2. Clean documentation and Loom walkthrough on delivery 3. Systems built to scale and be maintained after handoff 4. Clear communication and same-day responses during active builds INDUSTRIES I WORK WITH 1. Marketing agencies (GHL power users) 2. Legal and healthcare tech 3. E-commerce and DTC brands 4. Real estate and PropTech 5. SaaS startups and bootstrapped founders CORE TECH STACK Python · FastAPI · LangGraph · LangChain · n8n · GoHighLevel · Claude API · OpenAI API · RAG · Pinecone · Supabase · PostgreSQL · Redis · Docker · AWS · React · Next.js · Vapi · Retell AI · Twilio · Zapier
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $1.4k
Billed in all: $2,450$2.4k
$237 in the last 6 months
Across 9 contracts
Earnings, last 30 days
Skill rankings: Top 25% in Python
Ranked by MRR among everyone on Upwork with the skill.
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