Dharun Ashokkumar India

Open source

Most of what I make ends up on GitHub.

I build in public — clearing and settlement infrastructure in Rust, Indian-market quant tooling in Python, a virtualization manager in C, data-engineering platforms, and the odd knowledge hub. The numbers below are pulled live from the GitHub API.

I'm also a member of the Linux Foundation and an active contributor and maintainer across its projects. That work earned me a travel fund from LFX to attend the Linux Foundation Open Source Summit 2026 in Mumbai (June 16–18), funded by LFX itself. Read the write-up.

By the numbers

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Featured work

A few of the projects I'm most proud of. Each links to the source and, where it exists, a longer write-up.

  • Open Clearing Engine

    NSCCL-grade clearing and settlement engine: novation, multilateral netting, SPAN portfolio risk, event-sourced and deterministic, with a REST/WS API and ops dashboard.Source · Case study

  • Indie Market Analyst

    Local-first Indian-market toolkit: deterministic intraday scanner, dashboards, a backtester with the full Indian cost model, and an optional AI-assisted chat.Source · Case study · Live

  • Alternative Data Platform — Indian equities

    Medallion-architecture alt-data platform with a point-in-time feature store that's structurally anti-lookahead, plug-in data sources, signals and backtests, FastAPI delivery.Source · Case study

  • VMManager

    Native GTK4 desktop app for managing QEMU/KVM virtual machines and Incus/LXD containers from one window. A single compiled binary — no browser, no web server, no runtime dependencies.Source · Case study

  • RLER

    Reinforcement-learning paper-trading workbench for NSE equities on 15-minute candles: tabular Q-learning, backtests, walk-forward validation, a Yew dashboard. Paper-only.Source · Case study

  • CS Archive

    Free, open-source computer-science knowledge hub with 20+ curated categories. Frozen at v3 and kept live as a reference snapshot.Source · Case study

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