Adrian Mircea Nenu

Software Engineer, Google Cloud

NYC, US - 2024 - present

Working on Monarch, a planet-scale, in-memory time series database system primarily used for monitoring performance, availability, load, and other operational metrics of large-scale applications and infrastructure. Monarch is a multi-tenant service capable of ingesting terabytes of data per second, storing nearly a petabyte of time series data in memory, and handling millions of queries every second.

Software Engineer, Google Cloud GTM

NYC & London, 2023 - 2024

Engineered an advanced recommendation platform to integrate seamlessly with sales workflows, aligning customer requirements with tailored cloud solutions. The platform leverages novel research to chain multiple large language model (LLM) agents, employing Generative AI to map customer needs to optimized cloud architectures, cost projections, and deployment strategies.

Solutions Engineer, Google Ads

London, UK - 2022

Developed and open-sourced robust tools for in-depth website performance analysis and optimization, empowering businesses to enhance user experience and operational efficiency. Provided consulting to major advertising clients, delivering tailored strategies to significantly improve website performance, maximize ROI and competitiveness.

Senior Software Engineer, Morgan Stanley

London, UK - 2017 - 2022

Played a key role in developing reporting automation platforms and led the strategic shift from legacy thick clients to advanced, feature-rich web applications. Managed a team of two engineers to enhance the data analytics platform utilized by the accounting team, driving improvements in efficiency, scalability, and functionality that directly supported data-driven decision-making across the organization.

Software Engineer, Morgan Stanley

London, UK - 2015 - 2016

During an industrial placement year, worked full-time to implement graph theory and high-performance browser-based rendering techniques for visualizing complex dependencies across thousands of heterogeneous, cross-system batch jobs executing daily processes. Developed both live and replayable visualizations to improve real-time observability and post-event analysis, significantly reducing operational toil associated with debugging and system monitoring. This solution enhanced system transparency, facilitating faster issue resolution and deeper insights into inter-process dependencies.

Engineered JVM agents to accurately identify active class usage within a large-scale Java and Scala codebase running across thousands of production machines. Moving beyond artifact-level checks, these agents precisely tracked code utilization in live environments, enabling targeted deprecation and facilitating the cleanup of a substantial percentage of redundant code. This initiative optimized the codebase, improving maintainability and performance across the system.

Multiple Startups (CTO, Engineer)

Manchester, UK - 2014 - 2018

Served as CTO, senior software engineer, and consultant for multiple startups, immersing myself in entrepreneurship across industries such as game development, sports, and data analytics. Led the development of multi-platform applications designed for scalability and reliability, deployed at scale on AWS to meet diverse user needs and operational demands.