Newton Wanjala

I am a motivated, detail-oriented software engineer with a strong foundation from Stanford and two years of hands-on experience in data annotation, AI model training, and data science. I bridge software engineering and machine learning workflows, designing and implementing solutions that improve system efficiency and support large-scale ML pipelines.

At Guidewire I contributed across the full software development lifecycle, and at Autodesk I led large-scale annotation efforts and assisted in fine-tuning models to boost prediction accuracy. I am passionate about building scalable, intelligent systems and improving dataset quality to drive reliable AI outcomes.