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Adrian Mircea Nenu computo, ergo sum
← Experience

// Morgan Stanley

Software Engineer, Industrial Placement

2015 - 2016 London, UK
  • Team I (6 months): Graph theory and high-performance browser-based rendering techniques for visualising complex dependencies across thousands of heterogeneous, cross-system batch jobs executing daily processes. Developed both live and replayable visualisations to improve real-time observability and post-event analysis, significantly reducing operational toil associated with debugging and system monitoring.
  • Team II (6 months): Work on JVM agents to accurately identify active class usage within a large-scale Java and Scala codebase running across thousands of production machines. Moving beyond artefact-level checks, these agents precisely tracked code utilisation in live environments, enabling targeted deprecation and the cleanup of a substantial percentage of redundant code.

Latest videos

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Latest writing

Substack ↗

Training a 14M GPT to Generate Children Stories in 20 Minutes: Pretraining, SFT, and Direct Preference Optimization

End to end implementation, parameter and architecture analysis, and light evaluation of the checkpoints

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Could Actor Systems Be All We Need for Agentic AI Workflows

Are We Reinventing the Wheel of Actor Systems as We Develop Agentic Orchestration for AI?

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Is Computer Science a Worthwhile Pursuit Today?

As of 2026, It Will Most Certainly Endure the Test of Time, Albeit With a Raised Bar of Expectations

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