With 11+ years in IT, automation testing, and AI/ML model validation, I currently lead as a QA - Machine Learning & AI Engineer at Codvo.ai, an innovative AI solutions company. I specialize in AI model testing, LLM validation, computer vision testing, and MLOps pipeline implementation. My expertise spans advanced AI/ML testing tools including Python, TensorFlow, PyTorch, LLAMA, GPT, and BERT for LLM testing, computer vision testing with YOLO, OpenCV, and Detectron2, and RAG systems testing with ChromaDB, Pinecone, FAISS, and LangChain - alongside traditional automation tools like Selenium, TestNG, pytest, and Rest Assured. I've implemented MLOps pipelines using Docker, Kubernetes, MLflow, Jenkins CI-CD, and cloud AI platforms (AWS SageMaker, Azure ML, GCP AI Platform), with specialized skills in AI model drift detection, bias testing, and explainable AI validation. Certifications: ISTQB-CTFL, ISTQB-GT, ISTQB CT-GenAI, AWS Certified AI Practitioner, and AWS Certified Developer - Associate. Happy to help with AI/ML QA strategy, LLM/RAG testing, Vision AI validation, and MLOps quality practices.