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Piyoosh Rai

Founder & CEO of The Algorithm. Building AI platforms for regulated industries. Writing about system design, AI orchestration, and engineering leadership. Author of The Air-Gapped Chronicles.

Location Littleton, CO Joined Joined on  Personal website https://www.the-algo.com

Education

MS Computer Science, BS Computer Science

Pronouns

He/Him

Work

Founder & CEO at The Algorithm — AI platform engineering for healthcare and financial services

How Self-Healing Infrastructure Reduces MTTR by 90%: A Deep Dive
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How Self-Healing Infrastructure Reduces MTTR by 90%: A Deep Dive

#devops #sre #infrastructure #monitoring
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3 min read
Building Fair AI Ranking Systems: Lessons from Production
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Building Fair AI Ranking Systems: Lessons from Production

#ai #machinelearning #python #programming
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2 min read
Stop Guessing: How to Build a Performance Tracking System That Actually Works
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Stop Guessing: How to Build a Performance Tracking System That Actually Works

#ai #programming
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3 min read
The Stochastic Tax: Why Your AI Agent Is a Financial Liability (And How to Fix It)
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The Stochastic Tax: Why Your AI Agent Is a Financial Liability (And How to Fix It)

#ai #llm #programming #devops
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4 min read
The Air-Gapped Chronicles: The Insurance Gap — Building Liability-Resistant AI When Insurance Won't Cover the Risk
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The Air-Gapped Chronicles: The Insurance Gap — Building Liability-Resistant AI When Insurance Won't Cover the Risk

#ai #security #programming #python
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6 min read
The Air-Gapped Chronicles: The Silent War — When Training Data Becomes a Weapon
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The Air-Gapped Chronicles: The Silent War — When Training Data Becomes a Weapon

#ai #cybersecurity #machinelearning #security
1
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8 min read
The Supervisor Pattern: Why God-Agents Always Collapse (and What to Build Instead)
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The Supervisor Pattern: Why God-Agents Always Collapse (and What to Build Instead)

#ai #python #programming #webdev
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3 min read
Why Most RAG Pipelines Fail in Production (and How to Fix Them)
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Why Most RAG Pipelines Fail in Production (and How to Fix Them)

#ai #machinelearning #rag #programming
3
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2 min read
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