Jason Guo

Developed and scaled a healthcare staffing platform enabling real-time and AI job matching for healthcare professionals, using Node.js, Django, React, Typescript, Go and AWS services, achieving 99.9% uptime. Architected scalable backend microservices to handle high-volume healthcare data, improving platform response times by 30%. Implemented real-time communications using WebSocket and REST APIs to synchronize data across users. Integrated AI-driven matching algorithms with LLMs, PyTorch, and TensorFlow to automate job recommendations, increasing match accuracy and speed. Enhanced telehealth features by adding WebRTC-based video and audio communication. Refactored legacy REST endpoints into GraphQL queries, improving data retrieval for mobile clients. Optimized API response times by 30% with caching, database optimizations, and backend architecture tuning. Containerized and orchestrated services using Docker and Kubernetes. Ensured HIPAA compliance and secure data handling. Mentored ju

Developed an IoT system to monitor industrial equipment using AWS IoT Core, Node.js, and Python, producing real-time data insights for warehouse operations. Built interactive dashboards with React, Node.js, and WebSocket to visualize performance metrics, increasing user engagement. Architected serverless backend infrastructure using AWS Lambda, API Gateway, DynamoDB, and Kinesis for processing telemetry data in real-time. Enhanced data pipelines with Python to populate a data lake for analytics, streamlining reporting. Implemented event-driven architecture with AWS SNS/SQS for reliable messaging and decoupled services. Applied security best practices to reduce vulnerabilities through IAM roles and encryption. Led adoption of microservices and CQRS patterns, aligning system design with business needs.

Designed and implemented an IoT telemetry ingestion platform using AWS IoT Core, Kinesis, and Lambda, enabling real-time monitoring for industrial logistics and processing over 50 million events per day. Built intuitive data visualization dashboards using React and WebSocket, surfacing live insights for warehouse operators and reducing equipment downtime by 25%. Architected a fully serverless backend with API Gateway, DynamoDB, and Step Functions, improving scalability while reducing infrastructure costs by 40%. Created data lake pipelines using S3, Athena, and Python to streamline analytics, reducing reporting times from hours to minutes. Implemented CQRS and microservices architecture to improve modularity; strengthened security with IAM boundaries, API-level encryption, and OAuth-based access control. Drove observability tooling (CloudWatch metrics, structured logging, distributed tracing), increasing issue resolution speed by 60%. Co-led architecture reviews and cross-team design s