Akhil P K

I am a Conversational AI Quality Assurance and Testing specialist with over 3 years of hands-on experience in high-volume data annotation, systematic testing, and model-quality assurance. I focus on evaluating chatbot performance, spotting logical fallacies, and providing granular feedback to improve flow, tone, and user experience.

My background includes roles as a Data Annotation Analyst, Conversational AI Tester, and Conversational AI QA, where I reviewed and corrected labeled datasets, developed evaluation methodologies, and collaborated closely with data scientists and development teams to translate quality issues into product improvements.

I am proficient in NLP concepts, generative AI techniques, and programming with Python and SQL, and I have worked with tools and platforms such as Dialogflow, Kore.ai, Microsoft Bot Framework, TensorFlow, spaCy, and NLTK to support ML pipeline needs.

I bring a disciplined attention to detail, strong communication skills, and a track record of improving annotation quality and test coverage to help teams build more reliable conversational interfaces and improve model performance.