Professional Experience

Driving critical enterprise AI systems at Lennar, with direct impact on revenue, pricing strategy, and internal operations. Led architecture across multiple teams to deliver Lennar's flagship AI-driven pricing platform, increasing projected gross margins by $36M+ annually. Engineered full-stack web application (Next.js, React, Prisma, AWS) used by division practitioners across thousands of properties. Leading applied AI team of 9 engineers developing GenAI documentation assistant with MCP orchestration and multi-agent HR platform replacing Palantir Foundry.

Built cross-platform app (React Native/Expo + Express.js) atop AWS infrastructure. Engineered adaptive audio streaming with AWS Lambda for real-time transcoding, reducing iOS load times from 900ms to 120ms. Deployed containerized audio analysis/recommendation engine with TensorFlow. Implemented real-time features using API Gateway + Lambda WebSockets for chat, notifications, and AI-driven universal search (Pinecone, NLP, AWS Bedrock).

Architected AI-powered solutions for clients in healthcare, education, and government. Designed MLOps infrastructure and scalable data pipelines (Docker/Kubernetes, AWS Lambda, Glue, S3). Developed GenAI systems and RAG frameworks (LangChain, LangGraph) for contract review automation, healthcare claims processing, and document intelligence. Led technical architecture, API integrations, and cloud migrations with Terraform-based IaC.

Excellence in Tech Innovation Award 2023. Cut mortgage approval times from 45 days to 9 by adopting microservices architecture. Increased throughput by 20% through modular APIs enabling parallel workflows. Streamlined deployments with Jenkins CI/CD pipelines, reducing release times by 40%. Enhanced scalability with Redis-based caching, cutting API response times by 50%. Oversaw AWS migrations for business-critical services with auto-scaling and fault tolerance.

Designed and implemented CI/CD pipeline with Jenkins and Docker. Architected AWS auto-scaling strategies using spot and reserved instances, achieving faster, error-free deployments and optimizing cost-performance balance. Developed and deployed containerized microservices using Node.js and Python, ensuring high availability and seamless communication via RESTful APIs. Developed full-stack applications with React, AWS, and Express.js.

Developed full-stack solutions with React, Node.js, and SQL to optimize store operations. Used AWS (DynamoDB, SES) for automated alerts and data synchronization, reducing manual tasks across systems. Reduced overhead by using containerization (Docker) for consistent dev/prod parity, speeding up environment setups.