Hussnain A.

I’m an AI Engineer & Machine Learning Specialist with 4+ years of experience designing and deploying real-world AI solutions. My expertise lies in Natural Language Processing (NLP), Knowledge Graphs, and Generative AI—with a strong track record of helping organizations turn complex, unstructured data into actionable insights. I lead projects that combine Large Language Models (LLMs) with structured data, enabling customers to interact with their data through natural language and unlock deeper insights. My work spans across: Knowledge Graph Engineering – improving accuracy by resolving duplicate nodes with embeddings and graph reasoning. Agentic RAG Systems – building intelligent agents in Python (using Phidata, Postgres, and pgvector) that allow users to chat with their data. Entity Recognition Pipelines – leveraging LLMs and few-shot learning to identify industry-specific entities (e.g., Water & Wastewater). Automated Data Pipelines – designing ingestion and enrichment workflows in Python & SQL for scalable, reliable insights. Multimodal Document Intelligence – extracting structured information from PDFs, tables, and images with LLMs + vision models. I improved real-time customer–agent matching models, boosting customer retention and revenue, and optimized large-scale data pipelines for operational efficiency. My earlier roles gave me a strong foundations in IoT/Edge AI, C++ performance optimization, and resume/job matching systems using NLP. What I Can Do for You - Build end-to-end NLP solutions: classification, summarization, entity extraction, question answering. - Develop and deploy LLM-powered applications: RAG pipelines, knowledge-grounded chatbots, and Agentic AI systems. - Engineer knowledge graphs & entity resolution systems to transform messy data into clean, connected insights. - Create scalable data workflows: from preprocessing to deployment and monitoring in production. - Work across Python, R, SQL, and C++—choosing the right tool for efficiency and performance. Why Clients Choose Me Cutting-edge expertise in LLMs, embeddings, knowledge graphs, and agent-based AI. Proven industry impact: from optimizing global call centers to powering enterprise knowledge systems. Full ML lifecycle ownership: data prep → experimentation → deployment → monitoring. Client-first approach: I don’t just build models—I deliver solutions that solve business problems. Whether you need a custom NLP pipeline, an AI-powered assistant, or a full-scale data-to-insights system, I’ll help you turn your vision into reality. Let’s discuss how I can bring AI into your workflow.