Swapnil Pandey — Lead ML Engineer

With 11+ years of comprehensive IT experience in automation testing and AI/ML model validation, I am currently leading as QA - Machine Learning & AI Engineer at Codvo.AI, a cutting-edge company that provides innovative AI solutions across various domains. I am responsible for comprehensive AI model testing, LLM validation, computer vision testing, MLOps pipeline implementation, test planning, execution, results reporting, test metrics, automation ROI, as well as team management and client interaction. I have a strong technical background in advanced AI/ML testing tools and frameworks including Python, TensorFlow, PyTorch, scikit-learn, LLAMA, GPT, BERT, and Transformers for LLM testing. My expertise extends to Computer Vision AI testing using YOLO, OpenCV, Detectron2, and Vision AI systems. I excel in RAG (Retrieval Augmented Generation) systems testing with ChromaDB, Pinecone, FAISS, and LangChain, alongside traditional automation tools such as Selenium WebDriver with Java, TestNG, pytest, unittest, and API automation (Rest Assured). I have successfully implemented comprehensive MLOps pipelines from scratch using Docker, Kubernetes, MLflow, Weights & Biases, Neptune, Jenkins CI-CD, and cloud AI platforms including AWS SageMaker, Azure ML, and GCP AI Platform. My specialized skills include AI model drift detection, bias testing, explainable AI validation using LIME/SHAP frameworks, AI ethics compliance testing, and performance testing for real-time AI inference APIs and microservices architecture. Additionally, I am proficient in vector database testing, feature engineering validation, dataset bias analysis, and A/B testing for ML models. I hold the ISTQB-CTFL, ISTQB-GT, and AWS Technical Professional (Digital) certifications, which demonstrate my knowledge and expertise in both traditional software testing and cutting-edge AI/ML validation methodologies. My goal is to deliver high-quality AI/ML solutions that meet the evolving needs and expectations of clients in the rapidly advancing artificial intelligence landscape, while continuously learning and growing as a professional in this dynamic field of AI/ML quality assurance.

Stackforce AI infers this person is a QA Engineer specializing in AI/ML solutions within the tech industry.

Experience: 10 yrs 8 mos