Smaller but focused builds showing machine learning workflows, NLP pipelines, product logic, and interactive applications.
Predictive models and reproducible training workflows.
A machine-learning pipeline that estimates crop yield from agronomic and environmental features, covering data preparation, model training, and evaluation in a reproducible workflow.
Notebook · Model evaluation chart · Feature importance plot · GitHub
Public
Pipelines and assistants that work with language at scale.
An NLP pipeline that ingests content across platforms and produces sentiment and topic intelligence — normalising messy text into structured signals teams can monitor over time.
Architecture diagram · Sample dashboard with dummy data · Sanitized notebook/API output · GitHub
Sanitized demo recommended
A conversational assistant that offers supportive, non-clinical wellness check-ins, designed with care around tone, boundaries, and clear guidance toward professional resources.
Conversation screenshots with dummy prompts · Flow diagram · Safety boundary notes · Sanitized demo
Case study only
Operational tools built around a real user workflow.
A mobile-first tool for managing event invites with seat-based logic — seat allocation per inviter, optional plus-one rules, a waitlist, and admin visibility.
Demo event with dummy data · Admin dashboard screenshots · RSVP flow screenshots · Data model diagram
Public
Focused, responsive apps with clear interaction design.
An interactive web app that guides users through structured personality checklists and reflects results back in a clear, approachable summary.
Live demo · Screenshots · GitHub
Public