As a Python Automation Engineer with extensive experience in Quality Assurance, Machine Learning, & Natural Language Processing, I am dedicated to delivering high-quality software solutions by blending automation expertise with innovative technical approaches. My career is driven by a passion for technical excellence, process optimization, and creating intelligent systems.-> Quality Assurance and Automation Expertise in Asset Management & Investment DomainIn my current role as a Quality Assurance Automation Engineer, I specialize in: Designing and implementing robust automation frameworks for web, mobile, and mainly in backend API testing using tools like Robot Framework and Python.Writing, executing, and maintaining test cases, generating test data, and running validations across multiple environments to ensure software quality.Collaborating with development teams to conduct functional, integration, and end-to-end testing in banking domains such as funds trading, pensions, pricing, and stock trading.Streamlining CI/CD pipelines by integrating automated tests, reducing manual testing efforts, and increasing early defect detection.Delivering high-quality insights via detailed test reports and quality metrics to stakeholders. Conducting different types of testing such as API testing, UI testing, and performance testing in ST, SIT, and UAT phases.Working closely with POs to understand product requirements, ensuring alignment with quality standards.Emphasizing effective communication to collaborate across teams. Documenting and maintaining software quality practices to support continuous improvement.-> Machine Learning and Data ScienceI bring a solid foundation in machine learning, text analytics, and anomaly detection, with hands-on experience in tools and libraries like: Keras, NLTK, spaCy, Scikit-learn, Gensim,H2O, Neo4j, HBase, and Oracle for data handling and management.Implemented projects such as - A Machine Learning-based Conversational Agent for intelligent customer interactions, Text Classification pipelines using ML/DL for natural language tasks, Anomaly Detection in sensor data, improving real-time monitoring systems, Object Detection solutions leveraging computer vision techniques.-> Contributions and PublicationsAuthor of multiple publications in AI and data science, accessible via my ResearchGate profile.- https://www.researchgate.net/profile/Nt_ThomasGoogle Scholar - https://scholar.google.com/citations?user=kaSCwowAAAAJ&hl=enThis blend of QA automation and AI expertise ensures impactful solutions across domains