Projects

An educational web app for understanding quantum computing concepts visually.

• Focuses on intuition-first UI for learners.
• Useful for quick demos in mentoring, classes, and talks.

A research-focused toolkit for building and testing quantum ML workflows.

• Helps structure datasets, experiments, and baseline comparisons.
• Designed to support reproducibility for academic-style benchmarking.

Contributed to collaborative research and experimentation in quantum-enabled ML directions.

• Supports end-to-end prototyping and evaluation workflows.
• Emphasis on practical methods that can be benchmarked on real data.

Worked on applied research tasks spanning model development and analysis.

• Focused on robust methodology and reproducible experimental setup.
• Produced artifacts useful for follow-up studies and extensions.

Contributed to building production-facing AI features in a healthcare context.

• Focused on practical usability and reliability in real workflows.
• Delivered features aligned with measurable operational outcomes.

Built and supported applied optimization workflows in a production environment.

• Emphasized scalable implementation and maintainable architecture.
• Helped translate business requirements into deployable ML-backed features.

Worked on applied AI components for retail shelf monitoring and operational insight.

• Designed to improve stock visibility and reduce missed sales opportunities.
• Combined model outputs with product-facing analytics workflows.