Ammad R.

I am an AI Engineer and Automation Specialist with over 13 years of experience in software engineering. I specialize in building autonomous AI agents, LLM pipelines, and intelligent automation systems for real production environments. My background as a Software Architect gives me a strong technical base for AI work. I do not just build prototypes. I build AI systems that run reliably, securely, and at scale. If you need an AI agent with tool calling and RAG, a production LLM pipeline for real data, a computer vision system, or a voice AI agent, I can help. I bring strong architecture skills, clean coding practices, and full technical execution from prototype to deployed system. Please check my Portfolio section below for live AI project demos and past work. Education • MSc in Software Engineering (Project Management and IT Solutions), France • BSc in Software Engineering (Games and Application Development), Australia Core AI Skills • AI agent tuning: tool and function calling, RAG, strict JSON input and output schemas • Guardrails to prevent hallucination and runaway agent loops • LLM integration in production data extraction and orchestration pipelines • Voice AI agents using Vapi • Computer vision pipelines (OpenCV) for detection and visual data extraction • Workflow automation (n8n and custom orchestration engines) • GPU based inference deployment on serverless cloud platforms for scalable AI workloads • Full stack development: Python (FastAPI, Asyncio, Pydantic), APIs, cloud, databases Other Technical Skills • Software architecture and scalable system design • Unity development for WebGL, iOS, Android, desktop, AR, and VR • Multiplayer and real time applications • Blockchain and crypto wallet integration Roles I Can Take On • AI Engineer • AI Agent or Automation Developer • AI Solutions Architect • Backend and API Developer (Python and FastAPI) • Software Architect or Technical Lead • Unity or WebGL Developer (available on request) Key Achievements • Built and tuned production AI agents (Claude Code, OpenAI APIs) with function calling and RAG for enterprise clients. This removed hallucinated actions and runaway loops. • Built computer vision pipelines for real detection use cases, including a pill pack detection system and an AI plus AR product detection tool. • Deployed GPU scaled LLM inference workloads on serverless infrastructure, which reduced cold start delay and compute cost. • Delivered AI and automation systems for enterprise clients, including Zoom Inc. and the Khan Academy. • Led the team that won a 50,000 USD XRPL Innovation Grant from Ripple for a new blockchain integration. • Recognized as a Top Skilled C# Developer at Proxify, with a 100% Job Success Score kept across all client projects. What You Can Expect • Clean, scalable, and maintainable AI systems, not fragile prototypes • Strong problem solving and full ownership of the work • Clear communication and realistic project planning • Ability to work with both technical and non technical stakeholders • Long term thinking, with reusable systems and tools • Reliable delivery, with focus on performance and quality Portfolio & Live Links: A.I Project: bit.ly/raza-ai LinkedIn Profile: bit.ly/LinkedIn-raza