Adrian M. Nenu

Welcome! I'm Adrian, a computer scientist with an insatiable passion for software engineering and its power to fuel the pursuit of knowledge and meaning. Born in 🇷🇴 Romania in the '90s, I moved to 🇬🇧 the UK to pursue my academic studies and launch my career as a software engineer. Later, I relocated to the 🇺🇸 US to expand my professional horizons and learn how companies like Google are shaping the world we live in.

My long-term goal is to be deeply involved in leveraging technology at scale to drive positive change in society.

MSc. in Business Analytics

University of Bath - 2020-2023

Dissertation on Dynamic Time-Warping (DTW) for clustering market data to enhance investment strategies through the identification of asynchronous patterns in the S&P 500 and NASDAQ 100 indices, benchmarking against Euclidean K-Means and Self-Organising Maps neural networks, using Silhouette Score, Calinski-Harabasz & Davies-Bouldin indices to evaluate clustering. Employed multi-threaded data processing to decrease model training times and evaluated results visually.

BSc. in Computer Science

University of Manchester - 2013 - 2017

Project and Dissertation on a solution for non-intrusive JVM agents for capturing of internal state of live production applications during critical failures, with minimum runtime performance impact. Built Native Agents using C and the Java Native Interface (JNI), building custom data structures, using multi-thread processing, and storing information in Mongo through an API built in Scala, allowing for detailed state reconstruction visualized through a responsive web interface.

The computer programmer is a creator of universes for which he alone is the lawgiver. No playwright, no stage director, no emperor, however powerful, has ever exercised such absolute authority to arrange a stage or field of battle and to command such unswervingly dutiful actors or troops.

It's easy to get lost in day-to-day tasks and overlook the power and potential at our fingertips. This quote serves as a reminder of the long-term impact of the work we do—whether it's coding, system design, UIs, configurations, requirements documents, design docs, meetings, or anything in between.

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.