AI Chat/Search UX Delivery
- Flow map for chat entry, suggestion states, and search handoff
- Implementation in existing Android/web architecture
- Stability checklist and post-release adjustments
Shipped AI chat/search UX in a live Android app
Delivered a full-stack CRM pipeline system end-to-end
Built automation workflows that centralize inbound leads into a single source of truth
Productized offers with clear deliverables, timeline, and starting price range.
Client-delivery case studies prioritized by business outcomes.
Client Delivery
Proof under NDA
Sales pipeline updates and performance reporting lived across disconnected files, causing slow reviews and unclear ownership.
Mapped sales stages and reporting logic before schema design
Replaced fragmented spreadsheets with a shared CRM dashboard that anchored weekly pipeline decisions.
Designed and delivered a custom CRM that centralized pipeline tracking and performance reporting into one operational workflow.
Client Delivery
Proof under NDA
Users lacked a clear transition from AI chat prompts to meaningful search actions, and state sync issues reduced UX reliability.
Introduced WebView AI chat entry aligned with existing navigation
Shipped a clearer AI-assisted discovery flow that stabilized chat-to-search behavior in production.
Improved AI chat entry and search behavior with suggestion bubbles and state-handling fixes in a live Android app flow.
Client Delivery
Proof under NDA
Inbound orders and chat updates were copied manually into spreadsheets, producing inconsistent records and delayed follow-up.
Implemented web-order-to-sheet automation with validation and normalization
Replaced repetitive manual logging with automation pipelines that improved operational visibility.
Built automation pipelines (n8n, GAS, APIs) for web order ingestion and WhatsApp logging/tagging into a shared operations sheet.
Client Delivery
Proof under NDA
Separate repositories for related surfaces caused dependency drift and slower coordinated releases.
Structured repository with npm workspaces
Reduced cross-team release friction by aligning frontend and backend delivery in one monorepo.
Consolidated admin, landing, and API development in a single monorepo with npm workspaces.
Client Delivery
Proof under NDA
Social cards had uneven spacing and hierarchy, reducing clarity in dense feed views.
Reviewed spacing rhythm, card hierarchy, and interaction cues
Improved feed scannability and visual consistency through targeted fixes with low rollout risk.
Delivered targeted UI polish and bug fixes on social feed cards to improve readability and consistency.
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