Qiyao Qin

• Designed a fault-tolerant and scalable P2P interprocess communication system using Java, implemented vector clock and logic clock timestamp to track events, and a logging application to record logged messages
• Enabled reliable, causal-ordered multicast messaging in a distributed system, which enhanced the robustness and fault-tolerance of the system; Built a testing application to simulate whether the message would be sent if several nodes crash
• Developed mutual exclusion service… Show more

• Designed a fault-tolerant and scalable P2P interprocess communication system using Java, implemented vector clock and logic clock timestamp to track events, and a logging application to record logged messages
• Enabled reliable, causal-ordered multicast messaging in a distributed system, which enhanced the robustness and fault-tolerance of the system; Built a testing application to simulate whether the message would be sent if several nodes crash
• Developed mutual exclusion service among processes in different groups using Maekawa’s algorithm, which enables different processes to exclusively hold or release critical sections at will Show less

Backend developer
• Developed the backend server using Tomcat service on AWS EC2 instance by Java, built MySQL database to store all users’ information in different relational tables
• Provided over 25 APIs for the android side, realized functions including following, posting and commenting, and also advanced social functions using spring MVC framework

• Parsed 3TB (over 300 million rows) raw Twitter data, filtered out censored text and established a sentiment score model, transferred the data from a source server to AWS S3 data warehouse via AWS MapReduce
• Designed and optimized MySQL and Hbase database schema for the censored Twitter data; Developed a fault-tolerant and scalable web-server using Vert.x framework and a load balancer as frontend which could handle six different requests concurrently
• Designed a complex… Show more

• Parsed 3TB (over 300 million rows) raw Twitter data, filtered out censored text and established a sentiment score model, transferred the data from a source server to AWS S3 data warehouse via AWS MapReduce
• Designed and optimized MySQL and Hbase database schema for the censored Twitter data; Developed a fault-tolerant and scalable web-server using Vert.x framework and a load balancer as frontend which could handle six different requests concurrently
• Designed a complex producer-consumer multithread model using Java, which is able to read/write text from/into database Show less

• Developed a Vehicular Ad-Hoc Network (VANET) of on-board units, similating using OMNeT++ and SUMO, and visualizing using Veins, to send post-crash notifications to vehicles in the network and to provide alternate routes to re-route the traffic.
• Implemented the Scalable Weakly-consistent Infection-style process group Membership (SWIM) protocol using C++ to provide fault tolerance, reliability, and scalability.
• Built a peer-to-peer network consisting of a hierarchical overlay of… Show more

• Developed a Vehicular Ad-Hoc Network (VANET) of on-board units, similating using OMNeT++ and SUMO, and visualizing using Veins, to send post-crash notifications to vehicles in the network and to provide alternate routes to re-route the traffic.
• Implemented the Scalable Weakly-consistent Infection-style process group Membership (SWIM) protocol using C++ to provide fault tolerance, reliability, and scalability.
• Built a peer-to-peer network consisting of a hierarchical overlay of super-nodes (elected leaders) and ordinary nodes. Tested on Pittsburgh map and 280 virtual vehicle nodes. Show less