Srijan Verma

Building production-grade AI systems, LLM orchestration layers, and low-latency backend pipelines that actually scale.

Joined on Aug 18, 2026 srijanatwork1@gmail.com

Srijan Verma

Aug 30

Stop Letting Flaky APIs Crash Your AI Agents

#ai #backend #softwareengineering #systemdesign

3 min read

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Srijan Verma

Aug 28

Stop Choosing Between BM25 and Vector Search: Implement Hybrid Search with RRF

#ai #backend #softwareengineering #systemdesign

2 min read

Srijan Verma

Aug 27

Stop Using Regex: Building Zero-Crash LLM JSON Pipelines in Production

#ai #backend #softwareengineering #systemdesign

3 min read

Srijan Verma

Aug 26

Surviving the 429 Storm: Building Resilient LLM Fallbacks in Production

#ai #backend #softwareengineering #systemdesign

2 min read

Srijan Verma

Aug 25

Taming Context Bloat: How to Scale AI Agent Memory Without Breaking the Token Bank

#ai #backend #softwareengineering #systemdesign

2 min read

Srijan Verma

Aug 24

Stop Passing Full Chat Transcripts: Build a Two-Tier AI Memory System

#ai #backend #softwareengineering #systemdesign

2 min read

Srijan Verma

Aug 22

Bulletproofing AI Agents: How to Prevent $2,000 Infinite API Loops

#ai #backend #softwareengineering #systemdesign

2 min read

Srijan Verma

Aug 21

Stop Choosing Between RAG, Fine-Tuning, and Agents: Build the Hybrid Trio Instead

#ai #backend #softwareengineering #systemdesign

3 min read

Srijan Verma

Aug 21

Stop Leaking Data to Cloud APIs: Self-Hosting DeepSeek Locally with Ollama

#ai #backend #softwareengineering #systemdesign

2 min read

Srijan Verma

Aug 20

Deterministic Guardrails: Stop LLM Tool Calling Failures at Runtime

#ai #backend #softwareengineering #systemdesign

3 min read

Srijan Verma

Aug 19

Stop Using Naive Hugging Face Pipelines: Scale LLM Serving with vLLM

#ai #backend #softwareengineering #systemdesign

2 min read

Srijan Verma

Aug 19

Stop Wasting Tokens: Building a Sub-50ms Semantic Cache with Redis

#ai #backend #softwareengineering #systemdesign

3 min read

Srijan Verma

Aug 18

Building Event-Driven AI Agents: Replacing Polling Loops with Redis Streams and Idempotent Workers

#ai #backend #softwareengineering #systemdesign

4 min read

DEV Community

Srijan Verma

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2 Week Community Wellness Streak

1 Week Community Wellness Streak

Writing Debut

Stop Letting Flaky APIs Crash Your AI Agents

Want to connect with Srijan Verma?

Stop Choosing Between BM25 and Vector Search: Implement Hybrid Search with RRF

Stop Using Regex: Building Zero-Crash LLM JSON Pipelines in Production

Surviving the 429 Storm: Building Resilient LLM Fallbacks in Production

Taming Context Bloat: How to Scale AI Agent Memory Without Breaking the Token Bank

Stop Passing Full Chat Transcripts: Build a Two-Tier AI Memory System

Bulletproofing AI Agents: How to Prevent $2,000 Infinite API Loops

Stop Choosing Between RAG, Fine-Tuning, and Agents: Build the Hybrid Trio Instead

Stop Leaking Data to Cloud APIs: Self-Hosting DeepSeek Locally with Ollama

Deterministic Guardrails: Stop LLM Tool Calling Failures at Runtime

Stop Using Naive Hugging Face Pipelines: Scale LLM Serving with vLLM

Stop Wasting Tokens: Building a Sub-50ms Semantic Cache with Redis

Building Event-Driven AI Agents: Replacing Polling Loops with Redis Streams and Idempotent Workers