Prague office Engineering Meetup

Fang Liu is an Engineering Manager at Bloomberg, where she leads engineering teams responsible for building and scaling technology that supports index production workflows. Her team spans data validation, real-time systems, and index discovery, with a focus on building reusable solutions that can scale across different workflow needs.

Fang holds a Ph.D. in biology, and later transitioned into software engineering. She joined Bloomberg more than 15 years ago, initially working on derivatives and risk systems before moving to the Indices organization. She particularly enjoys translating complex financial workflows into scalable technical architectures, and exploring how new technologies can be applied to solve challenging engineering problems.

Outside of work, Fang enjoys traveling and exploring different cultures with her family. She enjoys staying active and spending time with her two children.

Andy Grout is an Engineering Manager of the Index Calculator team at Bloomberg. His team is responsible for the complex index rebalancing logic and daily performance evaluations for Bloomberg’s world famous indices. The team also develops tooling that enables customers to create and launch indices at scale.

Andy joined Bloomberg ten years ago, and has worked in in-house software engineering roles for nearly three decades at banks, law firms, and technology startups. He’s most interested in software craftsmanship and domain-driven design – really getting to grips with how the user sees the world.

He’s excited to bring talented people together to solve the hardest problems. And he’s passionate about helping folks build their careers.

Andy earned a master’s degree in computer science and a bachelor’s degree in natural sciences.

Outside of work, you can hear him torture the double bass and find him running. He recently completed a half marathon.

Lucy is a senior site reliability engineer on the Bloomberg Indices team, where she is responsible for the reliability and day-to-day operations of systems across the Index business. Her work focuses mainly on observability.

Lucy studied electronic engineering at Durham University. After graduation, she spent three years as a management consultant on the Digital Solutions team at Newton Consulting, specializing in the Defence industry. She then joined the Real-Time Market Data team at Goldman Sachs, where she initially worked as a software engineer focusing primarily on Java applications. Over time, she became more involved in the SRE side of the team, predominantly building monitoring software in Python and Go.

She joined Bloomberg just over a year ago, making the move fully into SRE. She is particularly interested in building reliable, observable and standardised systems and fostering collaboration between SRE and application development teams to improve service quality from the ground up.

Outside of work, she enjoys going to the gym, doing yoga and reading.

Jan Jahoda has been working in software and technology since 2007. In a career centered on building high-performance, scalable systems, his work spans low-level and platform engineering, with deep expertise in .NET, C++, and system architecture, and a consistent focus on performance optimization, reliability, and scale.

Jan’s background combines hands-on engineering with platform-level thinking, enabling him to work effectively across complex, large-scale systems. He has contributed to core infrastructure and developer platforms at global tech firms, including NCR, where he served as a Technical Lead, Microsoft, where he worked on the .NET Core team, and Bloomberg, where he has spent the past four years as a TechRep helping engineers build and optimize high-impact systems.

Michal is a senior software engineer on the equity index calculation team at Bloomberg, where he focuses on performance optimization and efficiency of calculation pipelines. As a side quest, he’s also a part of the wider Index organization’s AI working group, where he helps people use AI effectively.

Long before LLMs, Michal earned a master’s degree in artificial intelligence from the Department of Control Engineering at the Czech Technical University, Faculty of Electrical Engineering. He previously worked for NCR and Microsoft. He’s generally interested in low-level programming, programming languages, and operating systems.

His hobbies include repairing and enjoying vintage audio equipment, horror literature and cinema, and cats.