Ashwin Hariharan
Developer Advocate @ Redis
Bengaluru, India
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Ashwin Hariharan is a Developer Advocate at Redis, with over eight years of experience as a full-stack software engineer. He's passionate about making complex ideas simple, helping developers build faster, more reliable systems, and understand the "why" behind the tools they use. His current work focuses on applied AI, and exploring how intelligent, real-time applications can be built using retrieval-augmented generation, vector search, agentic AI, and other emerging technologies.
Outside of tech, he spends time learning piano and basic music production, hitting the gym, and exploring big questions about how the world works. He's also fascinated by how people think and learn, often channeling that curiosity into talks, writing, and conversations about science and critical thinking.
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AI workshop: Build a RAG chatbot
Redis powers some of the world’s most responsive and intelligent apps—and now it’s your turn to build one.
In this 3 hr workshop, you’ll roll up your sleeves and build a Retrieval-Augmented Generation (RAG) chatbot that’s fast, accurate, and memory-aware - using Redis’ real-time vector search and low-latency data infrastructure.
Key topics:
- How Redis' vector database supercharges GenAI apps
- Real-world architecture for low-latency, memory-rich chatbots
- Step-by-step RAG chatbot build, from ingestion to response
AWS Community Day Mumbai
Talk: Building faster agentic AI with Redis, AWS Bedrock, and LangGraph
Abstract:
AI Agents don’t have to be overthinkers, but if you design them wrong, they'll happily burn tokens re-answering the same questions. This session will show you how to build AI agents that actually reuse what they already know. You’ll learn:
- Why poor design makes LLMs "overthink" and how to fix it
- How to capture and reuse knowledge with memory and caching
- How to build agents that deliver faster, cheaper, and more consistent results
https://www.linkedin.com/posts/iyerashwinhariharan_still-buzzing-from-aws-community-day-mumbai-activity-7383582322312454144-Ng0L
Redis Released Bengaluru
Building faster AI Agents through knowledge reuse with LangChain & Redis
AI Agents don’t have to be overthinkers, but if you design them wrong, they’ll happily burn tokens re-answering the same questions. This session will show you how to build AI agents that actually reuse what they already know. You’ll learn:
- Why poor design makes LLMs “overthink” and how to fix it
- How to capture and reuse knowledge with memory and caching
- How to build agents that deliver faster, cheaper, and more consistent results
Ashwin Hariharan
Developer Advocate @ Redis
Bengaluru, India
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