IntellPro launched with the mission to create a knowledge advantage for asset management, financial and professional service organizations. Our platform leverages artificial intelligence and integrates into your existing workflow tools and data to allow you to achieve advanced AI capabilities, search and analytics.With our deep expertise across technology, financial and professional service solutions, the IntellPro team has designed a purpose-built solution that drives team productivity, enhances quality of output, and increases the speed of decision-making.

Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. I designed both front-end and back-end features for and maintained a Python application which enabled real-time interaction between graphics software developers and test machines. As a member of the application development team, I focused on improving customer experience and minimizing the amount of time needed by our customers to complete their tasks. I also worked as a member of the DevOps team, where I configured and maintained Kubernetes pods and Docker containers, ensured the application's stability, and vetted software changes before deployment using a GitHub Actions CI pipeline.

I worked with members of the verification and design team to confirm and verify the behavior of ASIC designs. Using SystemVerilog and simulation software, I verified memory, protocol errors, and cross-module operations. I increased the efficiency of our team's bug reporting system by creating a Python script which interfaced directly with Bugzilla's REST API for regression failure automation on a test suite of over 500 daily tests.

I spearheaded the implementation of auto-updating, file association, and an interactive Python shell for a yield analysis application, allowing for a better user experience.