AI Automation Engineer and AI Agents Builder with hands-on experience designing intelligent workflow systems using Python, OpenAI APIs, LangChain, and n8n. Proven ability to eliminate 10+ hours of manual work weekly for founders and SMBs through custom AI pipelines, chatbots, and agentic systems. Passionate about building scalable, measurable solutions at the intersection of LLMs, automation, and software engineering.
I'm an AI Automation Specialist helping startups and businesses eliminate repetitive work through intelligent systems. I design and deploy production-grade AI agents, n8n workflows, and full-stack automation pipelines that turn manual processes into reliable, self-running systems.
My focus is measurable outcomes — reduced manual effort, faster turnaround, and systems that operate reliably without constant supervision. I specialize in AI agents, RAG-based knowledge systems, workflow automation, and API integrations that connect the tools businesses already use.
Beyond client work, I stay current with the latest in AI agent architecture, prompt engineering, and automation best practices — because the tools businesses rely on should keep getting smarter.
Engineered end-to-end n8n automation workflows integrating 10+ third-party APIs, reducing client onboarding time by over 40% and eliminating repetitive support processes.
Optimized business operations for SMB clients by identifying and automating manual bottlenecks, achieving measurable efficiency gains across sales, support, and operations pipelines.
Collaborated directly with founders and product teams to scope, deploy, and iterate AI-driven solutions, consistently delivering productivity improvements within 2-week project cycles.
Designed reusable workflow templates and documented automation architectures, enabling clients to self-manage and scale systems post-delivery.
Prompt Engineer (OpenAI API), Freelance
Independent Consultant
2025 – Present
Faisalabad, Pakistan
Architected advanced prompt frameworks and tool-integrated LLM agents within n8n, improving task precision and structured output reliability by 35%+.
Built production-grade conversational flows with memory management, guardrails, and fallback handling, reducing client support ticket backlog significantly.
Designed and executed regression testing pipelines to evaluate prompt quality and agent consistency across model updates, ensuring stable output across Claude, GPT-4o, and Gemini APIs.
Developed custom evaluation frameworks to benchmark model performance, enabling data-driven decisions on prompt strategy and model selection.