Selected Work

Featured projects spanning AI-integrated platforms, enterprise systems, and defense applications. Each represents complex technical challenges solved through thoughtful architecture and engineering.

Architect & Developer
via L&B Digital Solutions LLC

LaunchLab LearningAI-Integrated Learning Management System

L&B Digital Solutions LLC Co-founded by Sam Lazrak and Terrance Blount

The Challenge

Build a comprehensive learning management system from scratch in 4 months that combines traditional course management with AI-powered content generation, custom video tracking, instructor analytics, automated certifications, and payment processing—all while ensuring scalability and maintainability for future growth.

Key Contributions

  • ▹Architected full-stack platform using Next.js 16, React 19, and TypeScript with tRPC for type-safe API layer across course management, authentication, and assessments
  • ▹Designed hybrid database architecture — PostgreSQL with Prisma for authentication, MongoDB with Mongoose for all business data including courses, enrollments, and RBAC
  • ▹Built database-driven role-based access control system with scoped permissions across global, organization, course, and section levels
  • ▹Integrated AI-powered grading, instructor feedback generation, and content assistance to streamline course creation workflows
  • ▹Implemented discussion forums, real-time collaboration tools, file management with Vercel Blob, and automated certification system
  • ▹Deployed on Vercel with serverless infrastructure, NextAuth for authentication, and Stripe for payment processing

Technical Highlights

•Hybrid PostgreSQL + MongoDB architecture
•Type-safe API layer with tRPC
•AI-powered grading and instructor assistance
•Database-driven RBAC with scoped permissions
•Discussions, collaboration, and file management
•Automated certifications and progress tracking

Tech Stack

Next.js 16React 19TypeScripttRPCPostgreSQL/PrismaMongoDB/MongooseNextAuthVercelStripe

Outcome

Successfully launched production system serving real users with course creation, enrollment, progress tracking, and certification capabilities. System handles concurrent users with automated scaling and maintains high availability.

Visit LaunchLab Learning→
Software Engineer

Enterprise Insurance Claims SystemNationwide Insurance Platform

The Challenge

Maintain and optimize a mission-critical Guidewire ClaimCenter platform. Modernize legacy systems, improve performance, and integrate with enterprise services—all without disrupting ongoing claims operations.

Key Contributions

  • ▹Developed Spring Boot microservices as part of platform modernization initiative, enabling gradual migration from monolithic architecture
  • ▹Optimized complex SQL queries and database operations in critical claims processing workflows
  • ▹Built and maintained real-time integration between Guidewire and downstream systems
  • ▹Implemented and deployed API endpoints through Apigee gateway, ensuring secure external integrations with partners and vendors
  • ▹Established comprehensive monitoring and alerting using Splunk, reducing incident response time and improving system observability
  • ▹Executed zero-downtime deployments for critical updates, maintaining service availability during platform enhancements

Technical Highlights

•High-volume transaction processing
•Zero-downtime deployment strategies
•Complex SQL optimization
•Enterprise integration patterns
•Real-time data synchronization
•Microservices modernization

Tech Stack

Guidewire ClaimCenterJava/GosuSpring BootApache KafkaOracleApigeeSplunk

Outcome

Delivered faster claims processing and reduced operational costs. Performance optimizations and modernization efforts positioned the platform for future scalability.

Lead Software Engineer

Defense Risk Assessment PlatformAstra Solutions • DoD/MDA Contract

The Challenge

Build a risk assessment platform for Department of Defense contractors that leverages AI-driven threat detection, processes real-time social media signals, and meets stringent government security requirements—while also supporting cross-platform mobile deployment for field operations.

Key Contributions

  • ▹Architected full-stack platform using Blazor for web application and .NET MAUI for cross-platform mobile deployment (iOS/Android)
  • ▹Implemented AI-powered threat detection system using LlamaSharp for local LLM inference, analyzing social media signals and behavioral patterns
  • ▹Built real-time social media signal processing pipeline with pattern recognition and anomaly detection for early threat identification
  • ▹Deployed production infrastructure on Azure with government-grade authentication, data encryption, and compliance controls
  • ▹Designed cross-platform mobile architecture enabling secure field access to risk assessments and threat intelligence
  • ▹Reverse-engineered and modernized legacy assessment systems, migrating critical workflows to new platform architecture

Technical Highlights

•AI/ML for threat analysis
•Government-grade authentication
•Cross-platform mobile deployment
•Real-time signal processing
•Local LLM inference
•Secure cloud infrastructure

Tech Stack

Blazor.NET MAUIAzureLlamaSharpCosmosDB

Outcome

Successfully deployed production system for Department of Defense contractors, providing AI-powered threat detection and risk assessment capabilities. Platform processes real-time intelligence feeds and supports secure field operations through mobile applications.

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