Senior Machine Learning Engineer
Current- Designed and implemented advanced AI solutions leveraging GenAI and LLM for applications in customer service chatbots, personalized content recommendations, and automated document processing to enhance user experiences and operational efficiency.- Developed and optimized RAG models to improve information retrieval accuracy and efficiency in chatbots and other interactive systems.-Applied NLP techniques, such as sentiment analysis, named entity recognition, and text summarization, to extract valuable insights from unstructured text data.-Leveraged deep learning techniques, including CNNs and RNNs, to create robust models for image and sequence data processing.-Independently developed machine learning solutions, overseeing the entire lifecycle from data preprocessing to model deployment and monitoring, ensuring adherence to project timelines and quality standards.- Employed best practices in model training and evaluation, utilizing metrics such as accuracy, precision, recall, F1-score, and AUC-ROC to assess model performance and drive iterative improvements.- Implemented CI/CD pipelines using Jenkins and GitLab CI to automate the deployment process, significantly reducing deployment times and minimizing errors, while ensuring consistent integration of code changes.- Conducted thorough testing and validation of machine learning models using AWS services, such as SageMaker for model training and deployment, and S3 for data storage, to ensure scalability, reliability, and compliance with security standards.
