Muhammad I.

I help businesses design, build, and scale AI-driven systems from data pipelines and predictive models to cutting-edge GenAI/LLM applications with robust DevOps practices for seamless production deployment. My Expertise AI & Machine Learning – Model development, training pipelines, feature engineering, model optimization, MLOps workflows Data Science & Analytics – Data cleaning, exploratory analysis, statistical modeling, forecasting, and visualization LLMs & GenAI – Custom LLM integration, prompt engineering, RAG systems, fine-tuning, vector database design (Milvus, Pinecone, Weaviate) MLOps & DevOps – CI/CD pipelines, model deployment (Kubernetes, Docker, Terraform), GPU optimization, monitoring, and scaling DataOps – Data pipelines (Airflow, Spark, Kafka), data validation, and versioning (DVC, MLflow) Why Work With Me End-to-end ownership — from data to deployed product Strong focus on reliability, reproducibility, and cost optimization Clear communication, documentation, and long-term maintainability Proven experience across multiple domains and cloud environments Tech Stack Python, PyTorch, TensorFlow, Scikit-learn, LangChain, HuggingFace, MLflow, Kubeflow, Docker, Kubernetes, Terraform, AWS/GCP/Azure Let’s discuss how I can help you build reliable and scalable AI solutions for your business.