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Dishant Sethi

AI/ML Expert | Founder @prodinit | 7+ years of experience in build software and AI applications

Location Delhi, India Joined Joined on 

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he/him

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Founder @prodinit.com

RAG Pipeline Chunking Strategies: Split Documents for Better Retrieval
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RAG Pipeline Chunking Strategies: Split Documents for Better Retrieval

#rag #llm #ai #langchain
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7 min read

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LLMOps in 2026: AI Demo to Production Guide
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LLMOps in 2026: AI Demo to Production Guide

#ai #llmops #kubernetes #mlops
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8 min read
Questions to Ask an AI Consulting Firm Before You Sign: A CTO's 8-Point Checklist
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Questions to Ask an AI Consulting Firm Before You Sign: A CTO's 8-Point Checklist

#ai #openai #startup
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10 min read
AI Agents in Production: 7 Architecture Mistakes That Sink Your System
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AI Agents in Production: 7 Architecture Mistakes That Sink Your System

#ai #agents #rag #llm
Comments 2
11 min read
LLM Fine-Tuning vs RAG: A Production Decision Framework for Engineering Teams
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LLM Fine-Tuning vs RAG: A Production Decision Framework for Engineering Teams

#ai #llmops #machinelearning #datascience
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10 min read
LLM Cost Optimization: Cut AI Inference Costs 47–80% Without Sacrificing Quality
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LLM Cost Optimization: Cut AI Inference Costs 47–80% Without Sacrificing Quality

#ai #infrastructure #architecture #performance
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7 min read
Why Your RAG Pipeline Is Failing in Production (And How to Fix It)
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Why Your RAG Pipeline Is Failing in Production (And How to Fix It)

#rag #ai #agents #mcp
1
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11 min read
Building Production Voice AI Agents: Latency, Architecture, and What Nobody Tells You
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Building Production Voice AI Agents: Latency, Architecture, and What Nobody Tells You

#livekit #agents #ai #webrtc
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7 min read
How to Deploy on Air-Gapped AWS EKS for Regulated Financial Services
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How to Deploy on Air-Gapped AWS EKS for Regulated Financial Services

#aws #kubernetes #cicd #devops
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8 min read
How to Evaluate LLM Outputs: Building Evals That Actually Catch Regressions
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How to Evaluate LLM Outputs: Building Evals That Actually Catch Regressions

#evals #ai #llmops #agents
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9 min read
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