Daniel H.

• Built AI-powered SaaS dashboard features for computer vision and document intelligence workflows using Next.js App Router, React Server Components, TypeScript strict mode, TanStack Query, Zod, and Tailwind CSS, improving Lighthouse performance from 74 to 95.

• Integrated OpenAI API and Anthropic Claude API into internal AI workflow tools with structured prompt templates, JSON schema validation, retry logic, token usage tracking, and Pydantic/Zod validation, improving valid AI output rate from 79% to 94%.

• Designed FastAPI backend services for AI job orchestration using Celery, Redis queues, PostgreSQL, idempotency keys, retry policies, and dead-letter handling, reducing duplicate job execution by 87%.

• Implemented RAG-based knowledge retrieval using LangChain, embeddings, pgvector, metadata filtering, and chunk-level source references, reducing manual support and review time by 31% for internal operations teams.

• Refactored slow synchronous processing flows into async FastAPI routes, background workers, Redis caching, and paginated PostgreSQL queries, reducing average API latency from 1.9s to 610ms.

• Built CI/CD and observability workflows with Docker, AWS ECS, GitHub Actions, CloudWatch logs, OpenTelemetry traces, health checks, automated test gates, and rollback configs, reducing deployment time from 32 minutes to 8 minutes and MTTR by 52%.

• Led development of CMS-driven web platforms, ecommerce systems, and client-facing SaaS dashboards using React, Next.js, TypeScript, WordPress, Shopify, Drupal, Magento, REST APIs, and GraphQL across agency client projects.

• Built reusable Next.js frontend architecture with shared layouts, dynamic routing, CMS content models, API caching, component libraries, and form validation, reducing new page build time by 43%.

• Developed custom WordPress and Shopify integrations using PHP, Liquid, MySQL, REST APIs, webhooks, custom post types, ACF-style content structures, checkout logic, and third-party marketing tools.

• Solved performance issues across CMS-heavy sites by optimizing PHP templates, MySQL queries, JavaScript bundles, image loading, lazy loading, caching rules, and CDN delivery, improving average page speed scores by 34%.

• Built API-based CRM and marketing automation flows using HubSpot, Mailchimp, Zapier, webhook listeners, UTM tracking, lead forms, abandoned-cart triggers, and email event validation, reducing missed lead updates by 58%.

• Improved engineering quality by adding ESLint, Prettier, Jest, React Testing Library, API smoke tests, staging deployment checks, pull request review standards, and reusable technical documentation for frontend/backend repositories.

• Built healthcare SaaS dashboard features for diagnostic quality review workflows using React, TypeScript, REST APIs, FastAPI, PostgreSQL, and Redis, helping internal teams review clinical and operational data more efficiently.

• Developed secure FastAPI services with JWT authentication, role-based access control, Pydantic validation, SQLAlchemy models, OpenAPI documentation, and structured error responses for healthcare workflow APIs.

• Built ETL automation pipelines with Python, PostgreSQL, SQL aggregation queries, scheduled jobs, S3 file ingestion, validation rules, and retry handling, reducing manual reporting work by 11 hours per week.

• Optimized slow data-heavy endpoints by adding PostgreSQL indexes, query refactoring, Redis caching, pagination, and selective field loading, reducing average dashboard query time from 2.4s to 780ms.

• Implemented frontend workflow screens with React Hook Form, Zod validation, reusable table components, filter states, auditfriendly UI states, and error handling for complex review and exception-management flows.

• Improved data quality and monitoring by adding schema validation, duplicate detection, missing-field checks, quarantine-style error logging, CloudWatch alerts, and API health checks, increasing successful pipeline processing from 84% to 96%.