Ejaz K.

I build AI systems that actually work in production. Not demos, not prototypes, but real agentic workflows and LLM-powered applications running at scale inside businesses. Over 9 years I've shipped 45+ projects across 23,000+ hours on Upwork, earning Top-Rated Plus status. My work spans SaaS platforms, microservices architectures, and now heavily focuses on AI agent development, RAG systems, and LLM integration for companies ranging from early-stage startups to global enterprises. What I do well: Agentic AI & Automation: Multi-step AI workflows using LangGraph, LangChain, and CrewAI. I build agents that handle real business processes like lead qualification, document processing, customer onboarding, and internal knowledge retrieval. These aren't chatbot wrappers. They're systems with tools, guardrails, and structured outputs. LLM Application Development: Custom RAG apps, AI-enhanced SaaS features, fine-tuned domain models, and API integrations with OpenAI, Anthropic Claude, and Google Gemini. I handle the full stack from vector database design (Pinecone, Supabase) through to the React/Next.js frontend. Production Architecture: Migrated monolithic applications to microservices for global companies. I design systems using Go, Node.js, Python/FastAPI, and deploy on Kubernetes with proper CI/CD pipelines. The AI features I build are production-grade: evaluated, monitored, and maintainable. Fintech & Compliance-Ready AI: Fraud detection, KYC/AML automation, credit scoring models, and regulatory compliance systems. I understand the domain requirements that make fintech AI different from generic AI work. Cloud & Infrastructure: Kubernetes, Docker, AWS, GCP, DigitalOcean, Cloudflare. I manage the full deployment lifecycle, not just the code. My approach is fixed-scope with clear deliverables. I don't do open-ended hourly billing unless the project genuinely requires discovery. Most standard AI projects I deliver in 2-4 weeks. Available 11 AM to 8 PM GMT+5. Happy to jump on a call to discuss your project.