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Report abuse"We solved release engineering for code twenty years ago. We forgot to solve it for AI."
Status: Active development · open-source · View on GitHub →
name: prasenjit chowdhury
role: Data & AI Architect
from: GitHub since 2013
repos: 47
open_to_work: true
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Working on PromptOps — shipping AI behavior with the same rigor as code Learning Agentic AI patterns and the MCP protocol Ask me LLMOps, AI agents, data platforms, lakehouse architecture, prompt engineering Collab on Open-source AI tooling at llmhq-hub |
I debug with coffee and curiosity
I've been on GitHub since 2013 — seen frameworks rise and fall
I built a JSON editor in pure Python that works offline
I automate everything — including this profile
I write on Medium about the things that break in production
| Project | Description | Language | Stars | Forks |
|---|---|---|---|---|
| promptops | Git-native prompt management and testing framework for production LLM workflows | |||
| releaseops | Release engineering infrastructure for AI behavior - bundle, promote, evaluate, and replay agent behavior artifacts |
| 🎯 | Activity | Repository | When |
|---|---|---|---|
| ⭐ | Starred | llmhq-hub/promptops | 28 days ago |
| | Software Engineering Is Moving Beyond Code | Fri, 14 Aug 2026 13:06:44 GMT |
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| Automation Requires That Someone Already Knew the Answer | Sat, 25 Jul 2026 18:49:31 GMT |
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| Forward Deployed Engineering Is Real. Most of What Companies Are Building Is Not. | Sat, 18 Jul 2026 13:32:41 GMT |
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| Agentic Data Pipelines: Reading the Fine Print on Self-Healing | Sat, 11 Jul 2026 07:14:45 GMT |
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| The Code Was Never the Hard Part: Five PyPI Lessons from Shipping PromptOps | Wed, 10 Jun 2026 14:39:49 GMT |
Data & AI Architect · Building Production-Grade LLM Tooling
Data & AI architect building open-source LLM tooling at llmhq-hub. Deep roots in data platforms, distributed systems, and cloud architecture.
Last updated: September 22, 2026 19:29 UTC
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