Richard Evans

Software Engineer in Seattle, WA with a Masters degree in Electronics and Computer Science and 10 years of experience across several software engineering disciplines; from architecting secure and resilient back-end services and engaging front-ends, to establishing robust infrastructures and data processing and analysis pipelines that propel business forward. My journey has included - establishing foundational product requirements, researching and choosing from available technologies, platforms and services to design, prototype, build and deploy Meetingflow, a realtime collaborative meeting platform with rich note taking, call recording, transcription, natural language analysis and text generation, chat assistant, and search - developing Applied Machine Learning data pipelines to efficiently ingest, analyze, enrich, store, and make searchable customer data from a variety of sources, as well as front-end client and back-end services to securely serve it whilst at PANDA AI - designing and implementing a cloud based data processing platform atop Azure Batch, building and maintaining resilient data pipelines to efficiently process and store petabytes of Office data per day, as well as client web app and back-end APIs to securely serve it as part of the Microsoft IDEAs team - developing low-level cross-platform networking code, as well as desktop and mobile client applications on the Microsoft Remote Desktop team - implementing and optimizing GPU compute algorithms, graphical applications, and game middlewares, as well as Linux drivers for ARM Mali mobile GPUs This diverse exposure has cultivated a profound understanding of various engineering disciplines, including systems, cloud services, front-end, data engineering, and machine learning. What sets me apart is: - A relentless pursuit of innovative, maintainable, and scalable solutions to complex engineering challenges. - An innate ability to quickly become proficient with new technologies, languages, and frameworks, ensuring I can contribute effectively to projects from the outset. - A rich history of working with a multitude of software architectures, languages, and technologies, from system engineering to full-stack web and data science—driven by an insatiable love of learning. - A commitment to nurturing continuous growth, personally and within teams, fostering a culture of high engineering standards and inclusivity. - A specialization and interest in building cutting-edge cloud services, particularly those employing Natural Language Processing and Understanding and Generative AI such as LLMs.