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MartinMashalov/README.md

Martin Mashalov

I train and deploy models, and build the infrastructure they run on. MSc Econometrics (Data Science track), University of Amsterdam, 2026.

Most of my work is closed source. These four are the parts I could open up. Two of them rebuild machinery I run in production at Papyra and GridPull; the other two come out of my thesis and my earlier quantitative work. All four are standalone, with the measurements committed so the claims are checkable. I published them in one batch at the end of August 2026. The rest of my public history goes back to 2021.

gpt2-harness. A GPT-2 training harness built from the parts up. Data, ZeRO, tensor, pipeline and context parallelism, each checked against a single-process reference, with exact wire-volume accounting and the pipeline bubble measured against its closed form. Also roofline and MFU, checkpoint resharding, a killed rank restarted, and Slurm, Ray and Kubernetes launchers. Underneath it, the GPT-2 implementation itself is verified to 6.1e-5 against HuggingFace across 75 layers: where the KV cache stops being quadratic, what per-channel quantization saves, which heads do induction.

agent-fleet. An asyncio supervisor for durable LLM agent runs. 500 of 500 runs finish after the process is killed mid-flight, with zero lost and zero duplicated across nine injected faults. Includes the honest finding that thread-per-agent keeps up on memory, so the argument for the design is durability rather than footprint.

gtm-agent. Prospect discovery on Reddit, qualification against an ICP, and drafted outreach, with a measured evaluation harness. Publishing without a human approval record is unrepresentable in the type system, not just discouraged.

generative-eval. Five GAN objectives scored four ways against real ground truth. The four scores rank them differently, and a GARCH(1,1)-t model from 1986 beats every GAN on downstream usefulness.

Earlier: VoiceCloning (2023), BisonHFT (2022, SPY directional prediction feeding an execution engine), and a geocoding service I built at Peek with its hot paths compiled to C.

martinmashalov.github.io · [email protected]

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