AI Engineer & AI Automation Expert
I’m Waleed Shehzad, an AI Engineer & AI Automation Expert based in Islamabad, Pakistan. I design and build AI agents, voice assistants, and intelligent automation systems that streamline business operations, reduce manual work, and improve customer experiences. My focus includes AI agents, AI automation, Voice AI, intelligent workflows, RAG systems, and business AI solutions.
Freelance AI Engineer & Automation Specialist
Build AI agents, RAG applications, and intelligent automation systems using Python, LangChain, and LLMs.
Develop custom AI solutions, API integrations, and business workflows using n8n and modern AI tools.
Freelance AI Engineer & Automation Specialist
Build AI voice agents, intelligent chatbots, and automated workflows for business operations.
Develop AI-powered lead management, appointment booking, and customer support automations using n8n and APIs.
AI Engineer
Developed AI and machine learning solutions using Python, data processing, and deep learning techniques.
Built and integrated AI-powered features for practical applications and automated workflows.
Air University - Islamabad Pakistan
LangGraph agents, tool calling, LLM orchestration, and retrieval pipelines that connect models to the systems a business already runs.
Real-time phone agents: Twilio Media Streams, streaming speech-to-text, text-to-speech, and LangGraph call flows with calendar and SMS tools.
REST and API layers, business logic, and integrations across Node, Java, .NET, and Python stacks.
Responsive interfaces and design systems — from component libraries to production-ready Next.js and React apps.
Schema design, queries, and auth — relational, document, and BaaS backends for multitenant SaaS.
Containerized deployments, CI/CD pipelines, and hosting on modern cloud platforms.
Building and fine-tuning generative models — from dataset prep and GPU training through evaluation, export, and local inference.
Day-to-day editors and AI-assisted builders used to ship faster from prototype to production.
Natural Language Processing with Classification and Vector Spaces
Sentiment analysis with logistic regression and naive Bayes, word vector spaces, and PCA, applied in Python to build document search and simple machine translation with locality-sensitive hashing.
Fundamentals of AI Agents Using RAG and LangChain
Retrieval-augmented generation, in-context learning, and prompt engineering with LangChain, covering document loaders, text splitters, vector stores, retrievers, chains, and agents for building LLM-powered applications.
Neural Networks and Deep Learning
Foundations of deep learning, covering forward and backward propagation, vectorized implementation in Python and NumPy, and building, training, and evaluating deep neural networks from scratch.
Artificial Intelligence on Microsoft Azure
Core AI workloads on Microsoft Azure, including machine learning, computer vision, natural language processing, and conversational AI, using Azure AI services to build practical intelligent solutions.
Deep Agents
Advanced training on building autonomous AI agents with multi-step reasoning, tool use, and orchestration in LangChain, including agent memory, planning patterns, and integration strategies for deploying reliable AI systems in production.
“We run a small dental practice and kept losing calls after hours. Waleed set up an AI receptionist that picks up, answers the usual questions and books straight into our calendar. Took about two weeks including testing. Patients actually like it, which I didn't expect.”
