Key Features:

• AI-driven conversational assistant with deterministic workflow orchestration
• Multi-turn conversational memory using vector embeddings
• Secure document ingestion and semantic retrieval
• Guided lead qualification and appointment scheduling
• Electronic Scope of Appointment (SOA) collection
• Compliance-aware conversation guardrails for Medicare regulations
• Domain-restricted website widget with secure public key authentication
• Analytics and conversation logging
• Production deployment on AWS

Technical Highlights:

Engineering Challenges Solved:

• Built persistent conversational memory while controlling context window growth through automatic conversation summarization.
• Implemented secure widget embedding that restricts usage to authorized customer domains.
• Designed business-rule guardrails to ensure conversations remain compliant with Medicare marketing requirements.
• Developed a scalable cloud deployment architecture capable of serving multiple client websites from a single backend platform.
• Integrated vector search with structured business workflows, allowing the assistant to answer knowledge-based questions while maintaining deterministic conversation flows.
• Implemented analytics and conversation storage to support operational monitoring and future model improvements.

Key Features:

• Restaurant and worker account management
• Shift posting and application workflow
• Scheduled and recurring job support
• Clock in / clock out time tracking
• Manager approval before payment
• Worker rating system
• Email verification and authentication
• Stripe Connect marketplace payouts
• Administrative dashboard and reporting
• Responsive web interface

Technical Highlights:

Engineering Challenges Solved:

• Designed a multi-sided marketplace connecting businesses and independent workers.
• Integrated Stripe Connect to automate onboarding, commission collection, and worker payouts.
• Built scheduling workflows that support posting, accepting, completing, and approving individual work shifts.
• Developed secure authentication, email verification, and protected API endpoints.
• Deployed the application using Docker on AWS with a production-ready infrastructure.

Projects:

Ads Campaign Dashboard – Advanced React State Management Project

Role: Fullstack Developer

Time-Frame: June 2026

Ads Campaign Dashboard Description:

The Ads Campaign Dashboard is a production-style React application built to demonstrate advanced front-end engineering practices through a realistic advertising analytics interface.

It was my first TypeScript project and marked my transition from JavaScript toward more strongly typed, maintainable application architecture. TypeScript was used across component props, API responses, campaign data, forms, query parameters, and reusable models.

The project separates application state into four categories: server state, UI state, form state, and URL state. React Query manages fetching, caching, mutations, and synchronization; useState handles temporary interface behavior; form state represents editable draft data; and URL parameters preserve search, filters, sorting, and pagination across refreshes.

Server data remains the authoritative source of truth. Form submissions are treated as mutation requests, and the interface updates from the confirmed server response rather than unpersisted local values.

Technical Highlights:

State Management Architecture:

Engineering Challenges Solved:

• Adopted TypeScript across components, API data, forms, mutations, and URL parameters.
• Separated server state, UI state, form state, and URL state.
• Replaced useEffect-based data fetching with React Query.
• Kept server data as the source of truth after form submissions.
• Added debounced search to reduce unnecessary requests.
• Stored filters, sorting, search, and pagination in the URL.
• Used query invalidation to keep the interface synchronized after updates.
• Added automated tests for loading, search, filtering, forms, and mutations.
• Built reusable, strongly typed components for a maintainable React architecture.

Key Features:

• Offline task viewing and updates
• Local mutation queue with automatic retry
• Task status, checklist, and note updates
• Version-based conflict detection
• Role-based task visibility
• Search, filtering, sorting, and pagination
• URL-persisted dashboard state
• Authentication and protected routes
• Loading, error, empty, offline, and conflict states
• Automated client and server testing
• Continuous integration with GitHub Actions

Front-end:

• React
• TypeScript
• Vite
• Tanstack Query
• React Router
• Vitest
• Responsive UI
• Reusable component architecture

Back-end:

• Node.js
• Express
• TypeScript
• REST APIs
• Authentication
• Role-Based Access Control
• Request validation
• Version-aware mutations

Database:

• PostgreSQL
• Prisma ORM
• Relational data modeling
• Database migrations and seeding
• Optimistic concurrency control

Offline Architecture:

• Persistent local mutation queue
• Automatic mutation replay
• Retry handling after reconnection
• Network status detection
• Conflict responses for stale updates
• Recovery workflows for failed mutations

State Management:

• TanStack Query for server state
• useState for temporary UI state
• Dedicated form state
• URL state for filters and pagination
• Server data as the source of truth

Testing and CI:

• Client component and interaction tests
• Server route and authorization tests
• Offline queue and conflict tests
• Linting and TypeScript checks
• Automated builds with GitHub Actions