Software Engineer

• Nov 2015 - Present

Aerospike is the high-performance NoSQL database that delivers speed at scale. Aerospike is purpose-built for the real-time transactional workloads that support mission-critical applications. These workloads have the mandate to deliver informed and immediate decisions for industries like financial services, adtech, and e-commerce. Aerospike’s unique combination of speed, scale, and reliability delivers 10x performance at 1/10th the cost compared to other databases. For more information, visit… Show more Aerospike is the high-performance NoSQL database that delivers speed at scale. Aerospike is purpose-built for the real-time transactional workloads that support mission-critical applications. These workloads have the mandate to deliver informed and immediate decisions for industries like financial services, adtech, and e-commerce. Aerospike’s unique combination of speed, scale, and reliability delivers 10x performance at 1/10th the cost compared to other databases. For more information, visit aerospike.com Show less Aerospike is the high-performance NoSQL database that delivers speed at scale. Aerospike is purpose-built for the real-time transactional workloads that support mission-critical applications. These workloads have the mandate to deliver informed and immediate decisions for industries like financial services, adtech, and e-commerce. Aerospike’s unique combination of speed, scale, and reliability delivers 10x performance at 1/10th the cost compared to other databases. For more information, visit… Show more Aerospike is the high-performance NoSQL database that delivers speed at scale. Aerospike is purpose-built for the real-time transactional workloads that support mission-critical applications. These workloads have the mandate to deliver informed and immediate decisions for industries like financial services, adtech, and e-commerce. Aerospike’s unique combination of speed, scale, and reliability delivers 10x performance at 1/10th the cost compared to other databases. For more information, visit aerospike.com Show less

Systems Engineer in Test

• Dec 2014 - Sep 2015

• Communicate with multiple teams to verify product requirements and functionality across hardware and software components • Build script tools for controlling, monitoring and collecting performance-related data from product system • Design and realize test cases to test product features and system level performance, using Python, Matlab and Java • Integrate new functional components to test automation framework • Analyze and visualize result data from routine tests, evaluate… Show more • Communicate with multiple teams to verify product requirements and functionality across hardware and software components • Build script tools for controlling, monitoring and collecting performance-related data from product system • Design and realize test cases to test product features and system level performance, using Python, Matlab and Java • Integrate new functional components to test automation framework • Analyze and visualize result data from routine tests, evaluate product performance and identify problems Show less • Communicate with multiple teams to verify product requirements and functionality across hardware and software components • Build script tools for controlling, monitoring and collecting performance-related data from product system • Design and realize test cases to test product features and system level performance, using Python, Matlab and Java • Integrate new functional components to test automation framework • Analyze and visualize result data from routine tests, evaluate… Show more • Communicate with multiple teams to verify product requirements and functionality across hardware and software components • Build script tools for controlling, monitoring and collecting performance-related data from product system • Design and realize test cases to test product features and system level performance, using Python, Matlab and Java • Integrate new functional components to test automation framework • Analyze and visualize result data from routine tests, evaluate product performance and identify problems Show less

Software Engineer

• Oct 2013 - Dec 2014

• Content-recognition algorithm optimization: - Client application profiling, analysis and algorithm improving to reach CPU usage reduction - Modified C++ components, wrote unit-tests with Python and evaluated performance change • Integrated two of company’s task management tools (Asana and FogBugz) through API scripting • Built a tool set based on C++ and Python to realize batched test dataset creation and annotation • Worked on hardware product maintenance and… Show more • Content-recognition algorithm optimization: - Client application profiling, analysis and algorithm improving to reach CPU usage reduction - Modified C++ components, wrote unit-tests with Python and evaluated performance change • Integrated two of company’s task management tools (Asana and FogBugz) through API scripting • Built a tool set based on C++ and Python to realize batched test dataset creation and annotation • Worked on hardware product maintenance and QA • Developed a web application for video files metadata editing, including the following components - An HTML5 based video player with sequenced video frames preview window for accurate video frame locating - Implemented metadata editing and file management user interfaces - Built the backend controller based on Pyramid framework and MongoDB • Scripted for simulation and analysis of content-recognition algorithms, verified improvement on algorithm performance with Python

Engineering Intern

• Feb 2013 - Oct 2013

Graduate Assistant

• Jan 2011 - Dec 2012

• Responsible for designing and grading assignments and exams, and office hours sessions. Courses assisted in teaching -- IE 4623 Introduction to Operations Research I IE 2303 Design and Manufacturing Process

Graduate Research Assistant

• May 2012 - Aug 2012

Collaborative Research Project in Systems Realization Laboratory @ OU - Built simulation models of electric vehicles charging demand by discrete-event-simulation for designing city charging station system in Dallas-Fort Worth area - Scripted for automation in executing simulation models with varying input and data collection

National University Student Innovation Program

• Jan 2009 - Jul 2010

•Implemented the system identification method (Least Square method) and modeled a greenhouse micro-climate system •Formulated Predictive Control Algorithm based on Mixed Logic Dynamic model, integrated both the discrete state of control device and continuous climate state into the system model •Participated in routinely maintenance and data collection of greenhouse facilities and hardware system •Implemented the system identification method (Least Square method) and modeled a greenhouse micro-climate system •Formulated Predictive Control Algorithm based on Mixed Logic Dynamic model, integrated both the discrete state of control device and continuous climate state into the system model •Participated in routinely maintenance and data collection of greenhouse facilities and hardware system