keyana mayle

I’m a PhD-trained Molecular Biology and Medical Biochemistry professional who blends scientific depth with technology to accelerate research, machine learning, and AI projects. As a university instructor, I develop and deliver course content, lab exercises, and research-oriented assignments using data-driven approaches. I mentor students in research projects, scientific writing, experimental design, and lab techniques.

As an AI Data Trainer / Technology Specialist, I conduct high-accuracy AI data annotation for machine learning and NLP initiatives. I label text, video, and image data for computer vision and AI systems, and I develop, test, and support software tools for data processing and analysis. I verify and validate datasets to maintain quality and reliability, then collaborate with cross-functional teams to improve model performance.

I also bring hands-on software engineering experience, designing and maintaining tools that support data analysis and scientific research. I’ve automated data workflows and integrated AI tools into research pipelines, reducing project time by 30%. With a track record of publishing peer-reviewed research and mentoring over 100 students, I’m passionate about contributing accurate data, strong QA protocols, and reliable software to AI-driven innovations.