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Keyword Target: insurance platform engineer

Insurance Platform Engineering for Complex Workflows

I work on insurance workflows where data quality, structured process design, and operational speed are crucial to business performance.

Ideal For

  • Insurance teams modernizing underwriting and intake systems
  • Products digitizing ACORD and document-driven workflows
  • Organizations integrating AI into review-heavy insurance operations

Core Capabilities

  • Digitize legacy insurance workflows into validated digital systems
  • Build quoting and orchestration flows for multi-factor insurance logic
  • Integrate AI extraction with human review workflows
  • Design internal tools that reduce repetitive manual operations

Outcome Evidence

  • Digitized 100+ ACORD forms into type-safe workflows
  • Improved extraction quality with 94% AI-assisted accuracy
  • Scaled systems to support enterprise-level onboarding requirements
Next.js 16Ruby on RailsTypeScriptZodPostgreSQL

Related Projects

AppEase

Modernized legacy insurance platform with Next.js frontend, engineered PDF-to-Form digitization engine, and built Human-in-the-Loop AI platform for underwriters.

Next.js 16Ruby on RailsTypeScriptTailwind CSSPostgreSQL
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Relevant Experience

DataCrest

Philadelphia, United States

Full Stack Engineer: Modernized the stack across 3+ major projects, migrating legacy Bootstrap 3 monoliths to a utility-first Tailwind CSS architecture, which wiped out years of technical debt and CSS bloat. Decoupled the Rails monolith into a headless backend architecture, serving a high-performance Next.js 16 frontend to improve scalability and boost developer velocity. Deployed a unified Design Language and UX framework using Tailwind CSS and Radix UI, standardized user experience across products to reduce friction in core workflows and decrease the number of interactions needed to complete tasks. Engineered an end-to-end PDF-to-Form digitization engine that eliminated manual data entry; this system used a bi-directional sync to convert complex insurance docs into interactive forms and back, tripling the team's operational throughput. Architected an AI-driven data extraction layer that parsed unstructured PDF data into structured JSON, allowing the system to automatically analyze and route insurance data to external partners with 94% accuracy. Built a "Human-in-the-Loop" (HITL) AI platform for underwriters to verify AI-extracted data through a custom dashboard, which drastically accelerated the review process for high-risk applications. Developed a real-time insurance orchestration engine that dynamically calculates risk and generates instant quotes for prospects based on complex, multi-factor insurance logic. Implemented a comprehensive Design System using Storybook, organizing UI components into a version-controlled library that ensured 100% visual consistency across all different products both internal and external facing. Scaled the platform to support the onboarding of Sapiens, an enterprise-level provider, successfully managing the integration of hundreds of underwriting agencies into a single unified system. Digitized hundreds of industry-standard ACORD forms using internal AI models, turning static legacy documents into type-safe, validated digital workflows.

Related Expertise Pages

FAQ

Can you work with ACORD-heavy insurance workflows?

Yes. I have hands-on experience converting ACORD-driven processes into validated digital workflows.

Do you support underwriting review workflows?

Yes. I build interfaces and logic for high-risk review with clear decision support.

Can this work with existing insurance systems?

Yes. Integration-first architecture is central when modernizing established insurance platforms.

Looking for help with this stack?

Reach out with your project context, current constraints, and delivery goals.

Contact Kawish