Muhammad Muneeb U.

With extensive expertise in various AI domains, I am a highly skilled machine learning engineer proficient in natural language processing (NLP), computer vision (CV), generative AI, data science, and DevOps/MLOps practices. My experience includes: NLP: - Extensive use of LLM APIs such as OpenAI, Gemini, Mistral, and Groq. - Building chatbots using LangChain and LlamaIndex. - Worked with text extraction, classification, summarization, and translation. Generative AI: - Expertise in Stable Diffusion (SD 1.5, SDXL) and ControlNet techniques. - Model fine-tuning with LoRA, textual inversion, and Dream Booth. DevOps and MLOps: - Deploying machine learning models for inference and training pipelines on AWS SageMaker. - Experience with continuous integration and continuous deployment (CI/CD) pipelines. - Containerization using Docker and orchestration with Kubernetes. Cloud Platforms: - Proficient in AWS services (EC2, S3, Lambda, SageMaker, RDS). - Experienced with Google Cloud Platform (GCP) services (Compute Engine, AI Platform, Cloud Storage). - Familiarity with Microsoft Azure services (Azure Machine Learning, Virtual Machines, Blob Storage). Solution Architecture: - Designing scalable and reliable AI solutions on cloud platforms (AWS, GCP, Azure). - Ensuring high availability and fault tolerance in deployed AI systems. - Leveraging cloud-native services for efficient resource management and cost optimization