Projects
A selection of work across AI, data, and modern software delivery. Details are shared in an anonymized way when needed.
SaaS
AI support assistant for a SaaS team
An internal AI assistant that helps support teams draft accurate answers and retrieve relevant docs with traceability.
LLM orchestration
Retrieval (RAG)
Next.js
APIs
Observability
Built a retrieval pipeline over product documentation and historical tickets.
Added evaluation and guardrails to reduce hallucinations and enforce citations.
Instrumented usage analytics and feedback loops for continuous improvement.
Faster responses
Consistent tone
Higher first-contact resolution
Healthcare analytics
Modern data platform and analytics foundations
A data foundation that unifies sources, improves data quality, and enables reliable reporting and stakeholder dashboards.
Data pipelines
Data modeling
Quality checks
Dashboards
Role-based access
Designed canonical models and incremental pipelines for reliable refreshes.
Introduced data quality checks and lineage documentation for auditability.
Delivered stakeholder dashboards with clear definitions and ownership.
Trusted reporting
Less manual work
Clearer metrics ownership
Fintech
Modern web portal and system integration
A secure customer portal with a redesigned onboarding flow and integrations across internal systems.
Next.js
TypeScript
API integrations
Auth
Testing
Redesigned onboarding with clearer status, validation, and error recovery.
Integrated multiple backend services behind a consistent API layer.
Built automated tests and release checks to reduce regressions.
Lower drop-off
Fewer support tickets
Predictable releases
Logistics
Mobile workflows for field teams
A mobile experience designed for low connectivity, offline-first workflows, and consistent releases.
Mobile UX
Offline-first
Sync strategy
Monitoring
Release hygiene
Designed offline-first flows with conflict handling and retry strategies.
Improved app stability with structured logging and crash triage processes.
Built a release checklist to keep deployments predictable.
Higher adoption
Fewer failures in the field
Faster iteration