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desenyon · naitik gupta · california
I write code that is either something I wanted to try because it sounded cool,
infrastructure I was tired of not having, or both.
Most of my work lives at Concatenate — the compile step between scattered company knowledge
and the agents that need to act on it. I also ship quant research tools and applied ML
when the problem is interesting enough to justify the math.
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concatenate-app The compile step for enterprise agents. Scattered knowledge — repos, Slack, specs, policies — becomes typed, permissioned, source-backed Context Packets before an agent acts. |
collective Infrastructure layer for AI software engineering. Codex, Claude Code, Cursor, and Copilot agents reuse verified context instead of rediscovering the same repository every session. |
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hypercode HyperGraph, HyperContext, HyperMemory — and a beautiful TUI — for coding agents. |
creation Local-first operating system for builders who want autonomous software delivery without stitching together a dozen third-party APIs. |
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collective-compress Learned context compression for LLMs — part of the Collective stack. |
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converge infinitecontex dex |
thunder ClaudeTube + a lot more on the repos tab → |
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ephemeral Keyboard-first terminal workstation — watchlists, news, backtests, LLM routing, artifacts. Markets, models, and decision loops in one shell. flux-rx |
sentinel quant research |
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GRAFT-Net ampp aurane |
updraft-lm scope-rx alcas-a1 |
pressbench lucenteval |
| ◇ | Engineer Intern · DataRobot — enterprise AI platform |
| ◇ | Agentic AI Intern · RagaAI — clinical-trial screening agent, modular RAG at scale |
| ◇ | #2 · QuantConnect Strategies Leaderboard |
| ◇ | 1st Place · Synopsys Science Fair — Computational Biology |
| ◇ | Qualifier · California State Science & Engineering Fair |
| ◇ | Published · Journal of Student Research |
| ◇ | 15+ articles · RandomResearchAI — 20k+ reads |



