I’ve been building software and contributing to open source since the early days of Linux. Here are some projects I’ve built, contributed to, and experimented with over the years.

⭐️ Featured Projects

Practical LLM Evals⭐️ Practical LLM Evals

Measure LLM inference performance

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LLM Snake Arena⭐️ LLM Snake Arena

LLMs compete in the classic Snake game

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Allycat⭐️ Allycat

End-to-end open-source RAG pipeline for website content.

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Author / Maintainer

Data Prep Kit Examples⭐️ Data Prep Kit Examples

Companion examples repo for Data Prep Kit

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WorkshopsWorkshops

Hands-on workshops on LLMs, coding agents, open models and AI.

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⭐️ Token Factory Cookbook

Examples and tutorials for Nebius Token Factory

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Data Prep Kit⭐️ Data Prep Kit

Open-source tools to cleanse, transform and enrich unstructured data at scale for LLM / RAG workloads.

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Open Source Project Contributions

PRs / Issues

Issues contributed

PRs contributed

Spark Job Server

Submitted multiple patches and pull requests to Spark Job Server.

HBase

Contributed performance and documentation patches to Apache HBase, a distributed NoSQL database, including HBASE-4440 and HBASE-5555.

Earlier Open Source Projects

Dockerized Stacks

I created these Docker-based stacks to make it easier to develop, test, and learn with Big Data and machine learning tools locally.

  • Kafka in Docker - Run a lightweight Kafka cluster on a single machine.
  • Spark in Docker - Run a mini Spark cluster locally.
  • Training Sandbox - Preconfigured environment with Spark, Kafka, TensorFlow, machine learning and deep learning tools, and Anaconda.
  • BigDL Docker - Run Intel BigDL in a Dockerized environment.