Ahmad Z.

I’m Ahmad Zafar Khan, an AI Engineer who builds real, production-ready AI systems, not demos or experiments that never ship. ⚠️ Note on Job Success Score: My current 79% JSS is due to a single fraudulent client incident. All other projects were delivered successfully with strong outcomes and client satisfaction. I work at the intersection of LLMs, RAG, multi-agent systems, and software engineering, helping startups and companies turn AI ideas into systems that scale, integrate cleanly, and deliver measurable business impact. I own the full lifecycle: architecture, development, deployment, and iteration in production. 🧠 What I Do Best: ⚙️ AI Systems & LLM Engineering: 🔹 LLM fine-tuning and optimization (GPT, Claude, Mistral, LLaMA) using LoRA, PEFT, QLoRA 🔹 RAG pipelines with LangChain, LlamaIndex, LangGraph 🔹 Vector databases: Pinecone, FAISS, Weaviate, Chroma 🔹 Multi-agent systems with tool calling, memory, and orchestration 🔹 Secure integration with internal data, APIs, and enterprise systems ☁️ MLOps & Infrastructure: 🔹 Production APIs with FastAPI, Docker, Kubernetes 🔹 CI/CD pipelines using GitHub Actions and Terraform 🔹 Cloud deployments on AWS, GCP, and Azure 🔹 GPU-optimized inference for low-latency workloads 🔹 Model monitoring, retraining, and rollback strategies 🔹 Secure systems with OAuth2, encryption, and access control 🔁 Automation & Agentic Workflows: 🔹 Business automation using n8n, Zapier, Make 🔹 AI agents for customer support, scheduling, CRM, HR, and ops 🔹 Integrations with HubSpot, ClickUp, Slack, Stripe 🔹 Human-in-the-loop workflows and feedback-driven improvement 🧩 Full-Stack Engineering: 🔹 Frontend: React, Next.js, TypeScript, Tailwind, shadcn/ui 🔹 Backend: FastAPI, Django, Flask, Node.js 🔹 Mobile: Flutter, React Native 🔹 Databases: PostgreSQL, MongoDB, Redis, Neo4j 🔹 Payments & APIs: Stripe, PayPal, GraphQL, Firebase 🛠️ What I’ve Built: ✅ RAG-powered knowledge assistants and internal AI copilots ✅ Multi-agent LLM systems (LangGraph, CrewAI, AutoGen) ✅ AI-powered SaaS dashboards and admin portals ✅ Document parsing and semantic search engines ✅ Workflow automation platforms (CRM, HR, Finance, Ops) ✅ Cloud-native AI APIs with GPU-backed inference ✅ Voice and chat AI agents for real-time interaction 🚀 Why Clients Hire Me: ✨ 20+ AI projects delivered across startups, SaaS, and enterprise teams ✨ End-to-end ownership from architecture to deployment ✨ Domain-specific AI for legal, healthcare, and finance use cases ✨ Strong experience with RAG and automation-heavy systems ✨ Cloud-native mindset with scalable, reliable infrastructure ✨ Clear communication, strong documentation, fast iteration 🧪 Tech Stack Snapshot: 🧠 LLMs: GPT-4, Claude, Mistral, LLaMA, Hugging Face 📦 Frameworks: LangChain, LangGraph, LlamaIndex 📊 ML: PyTorch, TensorFlow, Scikit-learn, SpaCy, OpenCV ☁️ Infra: Docker, Kubernetes, Terraform, AWS, GCP, Azure 🔄 Automation: n8n, Zapier, Make 🗄️ Databases: PostgreSQL, MongoDB, Redis, Neo4j 🌐 Web & Mobile: React, Next.js, FastAPI, Django, Flutter 🎯 Ideal Projects: 🚀 RAG-powered platforms and internal AI systems 🚀 Agentic AI workflows and automation-heavy products 🚀 SaaS products integrating LLMs into existing architectures 🚀 Rapid MVPs that need to grow into production systems 🚀 Founders who care about reliability, not hype 🤝 Let’s Build Something Real If you need an engineer who can design, build, and deploy AI systems that actually hold up in production, I’d love to help. Let’s turn your idea into a scalable AI product that delivers real results.