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.

github · PRs contributed · Issues contributed

🛠️ Currently Building

  • ZebraBench - Browser-based benchmark for testing LLM inference endpoints without any setup
  • Practical LLM Evals - Model visualizers, developer utilities for testing inference, and more
  • LLM Snake Arena - A fun, interactive LLM evaluation and visualization

ZebraBench⭐️ ZebraBench

Browser-based benchmark for testing LLM inference endpoints - speed, latency, accuracy, and cost.

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Practical LLM Evals⭐️ Practical LLM Evals

Model visualizers, developer utilities for testing inference, and more.

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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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Built / Maintained

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

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 Data & AI StacksDockerized Data & AI Stacks

Ready-to-run Docker environments for Kafka, Spark, machine learning, and deep learning.