Ashley J Williams

Available to hire

I am a AI Software Engineering Intern at ServiceNow with a strong foundation in software development, building and deploying machine learning models and optimizing algorithms.

About

I am a AI Software Engineering Intern at ServiceNow with a strong foundation in software development, building and deploying machine learning models and optimizing algorithms. Currently pursuing a Bachelor’s degree in National University of Singapore (expected graduation 2026) with a minor in computing. Experienced in applying engineering and computational skills to real-world projects, data analysis and applied AI/ML I’m especially interested in applying AI and ML to user workflows, building on my
background and experience at Logik.ai, ServiceNow, and my startup projects.

  • 1 year's experience
  • Joined February 2026

Languages

  • EnglishFluent

Industry experience

  • Software & Internet
  • Healthcare
  • Education
  • Professional Services
  • Media & Entertainment

More experts in Singapore, Singapore

Work experience

AI Software Engineer Intern · ServiceNowMay 2025 – Present · 1 yr 7 mos

Built and iterated AI features and LLM-powered conversational workflows for CPQ and transaction use cases, focusing on accuracy, latency, and safe user experience in enterprise settings. Developed automated test coverage (unit + integration) and enhanced regression protection for critical user flows. Collaborated with cross-functional teams to create UATs for features, validated edge cases, and hardened features for enterprise deployments. Contributed to data platforms with dataset quality checks and model evaluation metrics; helped design and integrate prompt engineering pipelines for LLMs.

AI Software Engineer Intern · ServiceNowJan 2025 – May 2025 · 5 mos

Joined the CRM CPQ AI/ML team to design and implement AI-powered features directly into the ServiceNow CRM platform, focusing on workflow automation. Built and iterated AI features and LLM-powered conversational workflows for CPQ and transaction use cases, emphasizing accuracy, latency, and a safe user experience in enterprise settings. Developed automated test coverage (unit + integration) and enhanced regression protection for critical user flows, increasing release confidence. Debugged conversational AI configurations (Kubernetes Config Maps, service clients) and fixed end-to-end failing tests. Implemented robust logging on GCP Cloud Logging, improved debuggability through consistent structured logs, and filed critical bugs to accelerate reviews.

Education

Bachelor of Innovation & Design (Double Major) with Minor in Computing · National University of Singapore2022 – 2026
Bachelor of Biomedical Engineering (Hons), Double Major in Innovation & Design; Minor in Computing · National University of Singapore2022 – 2026

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