JANET ZHANG

• Developed and architected cloud-based solution for genomic mutation reporting and analysis.
• Implemented microservices architecture using Java and Scala for high-performance scalability.
• Established real-time data pipelines with Apache Spark, leveraging multi-threading techniques.
• Created Lambda-based parsers for diverse data sources, ensuring accurate data processing.
• Designed interactive user interface with Angular and TypeScript for enhanced user experience.
• Constructed relational databases using Liquidate to ensure data integrity and scalability.
• Deployed and maintained system on AWS, utilizing Lambda, S3, EC2, and DynamoDB.
• Employed Splunk and Grafana for effective real-time monitoring and observability.

Architected large-scale intelligent energy platform for real-time grid monitoring and AI-driven optimization.

Developed distributed backend systems with Java, Spring Boot, and C++ for PMU and IoT data processing.

• Implemented real-time data pipelines using Apache Kafka and MQTT to enable high-throughput analytics.
• Created advanced forecasting models in Python leveraging Reinforcement Learning for optimized load distribution.
• Designed deep learning models in TensorFlow for enhancing energy efficiency and fault detection.
• Engineered voice interaction module utilizing speech-to-text AI for operator controls and queries.
• Deployed responsive UIs with D3.js and HighCharts.js for interactive trend analysis and dashboards.
• Integrated PostgreSQL databases with Liquidate migrations to optimize data querying and aggregation.