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Evan Doyle
Gauge - Solving the microservices/monolith dilemma
Professional Background
Evan Doyle is a passionate software engineer with an impressive trajectory that began at the age of 13 when he wrote his first line of code. Since that moment, he has been captivated by the world of technology and software development. Presently, he is embarking on an exciting new venture, further showcasing his enthusiasm and commitment to innovation in the tech sector.
Evan's professional experience spans a variety of influential roles within prominent organizations, giving him a robust foundation in software engineering and tech leadership. Most notably, he served as the Co-Founder and Chief Technology Officer at Gauge, a company that gained recognition in the prestigious Y Combinator Summer 2024 cohort. His leadership and technical expertise significantly contributed to the company's early success and innovation.
In addition to his role at Gauge, Evan has demonstrated versatility and a strong work ethic in various positions. He has worked as a Software Engineering Consultant, where he provided expert technical guidance to a variety of clients, enabling them to enhance their software systems and improve operational efficiency.
Before his consulting experience, Evan honed his skills as a Tech Lead at Standard Metrics, where he played a critical role in overseeing software projects and mentoring junior developers. His journey at Standard Metrics began when he joined as a Software Engineer, and his exceptional performance allowed him to quickly ascend to a tech lead position.
Evan's early career included impactful experiences as a Software Engineer at Carta, where he developed and maintained key software solutions. He also completed internships at Carta and Castlight Health, setting a solid groundwork for a successful career in software development. Through these roles, Evan acquired a wealth of practical skills in programming and project management, equipping him with the tools necessary to thrive in the fast-paced tech landscape.
Highlights
Just shipped the easiest way to deploy a Python Lambda 🐍 at Gauge (YC S24)
It's dead simple to scale functions like document parsing, data aggregation, or webhooks with Pare!
Check out our announcement here for more:
Waiting for a 30 minute CI pipeline will kill your flow every time. I wrote about how to use Test Impact Analysis to dramatically speed up your test suite! (there's an 8x speedup in the example with FastAPI)
Check it out here:
