Kevin Mark Email and Phone Number

• Mentored all junior developers that entered the company; they started on my team where I trained them in best practices and the structures/patterns of our code until they were ready to join a feature team • Key contributor in building an internal Policy Processing software suite to remove the reliance on a major third party insurance software package called Edge, saving 100s of thousands in annual fees• Was team lead for the level 3 production support team which grew to be 15 members, 11 of which were developers • Played a major role in helping the company transition from being exclusively on-prem to having about 80% of their applications and infrastructure hosted on AWS • Led efforts to remediate vulnerabilities in 100+ internal applications, both front-end and back-end, and improved the security processes surrounding application builds and deployments • In addition to being a full-stack developer, performed significant QA testing duties and helped to establish testing standards and regression suites to ensure consistency and robustness

• Developed a large-scale, distributed, Java-based application to replace ETL processes across the entire company, reducing support needs by over 50% and greatly improving performance • Created REST APIs to support database CRUD operations across infrastructure which heavily using MongoDB, PostgreSQL, and Amazon S3 • Refactored a large number of legacy systems in order to update them to current generation structures, while also improving the security and consistency of the code • Stumbled upon several areas of unnecessary manual work and automated these processes which alleviated upwards of 4 hours of work every week in multiple departments

• Utilized C++ and the CUDA platform in order to increase the speed and efficiency of computer vision algorithms such as the Hough transform and Sobel edge detection • Mapped various mathematical models to parallel programming algorithms in order to harness the power of GPGPU for real time image processing • Underwent the rigors and learned the intricacies of academic research through assisting Dr. Patricio Vela and his graduate students

• Incorporated machine learning algorithms into GPGPU code using C++ and the CUDA platform in order to predict outcomes from datasets containing billions of records • Assisted graduate students with data mining projects ranging from complex biomedical applications using feature selection techniques to simple programs such as implementing the k-means algorithm in CUDA • Utilized technologies such as Hadoop and Cassandra in order to work within large scale distributed environments