Harry Fallows

Harry Fallows

Software Engineer @ Thought Machine

About Harry Fallows

Harry Fallows is a Software Engineer at Thought Machine in London, specializing in building and maintaining observability stacks within infrastructure. He holds a Master of Engineering in Computer Science from the University of Warwick and has experience in various technologies including Go, Python, and Kubernetes.

Work at Thought Machine

Harry Fallows has been employed at Thought Machine as a Software Engineer since 2021. In this role, he specializes in building and maintaining observability stacks within the company's infrastructure. He develops libraries and tools that enhance product developers' interactions with the infrastructure. His work involves utilizing a variety of technologies, including Go, Python, Kubernetes, and Prometheus. Additionally, he employs OpenTelemetry and Jaeger to implement observability solutions, contributing to the overall efficiency and reliability of the systems.

Education and Expertise

Harry Fallows studied Computer Science at the University of Warwick, where he earned a Master of Engineering (MEng) degree from 2017 to 2021. His academic background provided him with a solid foundation in software engineering principles and practices. During his studies, he also served as a Graduate Teaching Assistant from 2020 to 2021, further enhancing his expertise in the field.

Background

Prior to his current position, Harry Fallows completed an internship as a Site Reliability Engineer at Thought Machine in 2020, where he worked for three months. He also interned as a Data Scientist and Software Engineer at Popsa in 2019 for two months. Additionally, he held the position of Social and Welfare Secretary for the University of Warwick Symphony Orchestra from 2019 to 2020, where he contributed to the organization's community and support initiatives.

Technologies and Tools

In his role at Thought Machine, Harry Fallows utilizes a diverse set of technologies. His work involves using Elasticsearch, Kibana, Kafka, Postgres, and gRPC, which are integral to the technology stack he manages. His focus on observability also includes employing tools such as OpenTelemetry and Jaeger, which are crucial for monitoring and improving system performance.

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