hamza a. | AI Engineer, Full Stack

Hamza A. AI Engineer @Toptal | Building Agentic AI, RAG, GraphRAG & LLM Systems | ML, NLP | LangChain, LangGraph, AgentCore, CrewAI, MCP | Python, FastAPI, React,Java | AWS, GCP | PostgreSQL, Vector DBs| AI Evals | MLOps & LLMOps Lahore, Punjab, Pakistan (PK) 500 connections • 11,672 followers About AI is transforming how modern software is built, deployed, and scaled. For 5+ years, I have built Machine Learning and AI systems that solve real business problems and create measurable value.Specialized in Agentic AI, LLMs, RAG, GraphRAG, NLP, and distributed AI systems, with hands-on experience across Machine Learning, MLOps/LLMOps, backend engineering, and cloud infrastructure. Work includes fine-tuning LLMs (PEFT, LoRA, QLoRA, RLHF), building multi-agent systems, and deploying production-ready AI applications.Built AI agents, enterprise RAG pipelines, workflow orchestration systems, MCP servers, and intelligent products to improve automation, search, and decision-making. Collaborated with cross-functional teams to gather requirements, improve workflows, and deliver production solutions.Experience in deploying AI systems on Amazon Web Services and Google Cloud, using Amazon Bedrock AgentCore, SageMaker, Lambda, EC2, ECS, S3, Vertex AI, BigQuery, and Cloud Run for scalable AI applications.Worked with LangChain, LangGraph, CrewAI, DSPy, and vector systems like Pinecone, Qdrant, pgvector, Neo4j, and OpenSearch for semantic search and hybrid retrieval.Also built AI evaluation, observability, and monitoring systems using LangSmith, Ragas, DeepEval, MLflow, OpenTelemetry, Prometheus, and Grafana to improve reliability, tracing, safety, and performance.My main stack includes Python, Java, PyTorch, TensorFlow, FastAPI, Flask, TypeScript, React.js, AWS, Google Cloud, Docker, Kubernetes, Terraform, Airflow, PostgreSQL, NoSQL, and distributed systems.Focused on building scalable, secure, and production-ready AI systems with clean architecture, strong guardrails, Human-