Software Developer · AI & Workflow Automation

Vennila Sooben

Montréal-based software developer building AI-assisted applications and workflow automation with TypeScript, Python, Vue 3, and Microsoft Power Platform.

Vennila is an M.Sc. Computer Science student at Université de Montréal with industry experience in frontend development and Microsoft Power Platform-based process automation. Her research examines reusable prompt patterns through large-scale prompt analysis, taxonomy design, and specification. As a Technical Assistant at Université de Montréal, she develops LLM applications with RAG, LangChain, and CrewAI.

Selected expertise

  • Software development with TypeScript, Python, JavaScript, Vue 3, Nuxt, and React
  • Workflow automation with Power Apps, Power Automate, Dataverse, Power BI, and Copilot Studio
  • Power Apps automation catalog for executive assistants at iA Financial Group
  • UdeM Technical Assistant experience developing LLM applications with RAG, LangChain, and CrewAI
  • Accessible frontend systems, design systems, process analysis, and technical delivery

GitHub · LinkedIn · Prompt engineering research · Interactive taxonomy catalog · Resume

Publications

A Taxonomy of Single-Turn Textual Prompt Patterns

Vennila Sooben and Eugene Syriani · arXiv:2607.00043 [cs.SE] · 2026

Second paper in progress

The title and details will be added when the work is ready to be shared publicly.