@punyasloka-mahapatra

Punyasloka Mahapatra

@punyasloka-mahapatraBengaluru, IndiaJoined March 2025

With over four years of experience as a Software Engineer, I specialize in backend development, focusing on scalable applications.

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Punyasloka Mahapatra's blogs

ByteForgepunyasloka-mahapatra.hashnode.dev29 posts

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Recently published

PMPunyasloka Mahapatrapunyasloka-mahapatra.hashnode.dev1h ago · 8 min read

Memory Banks: Is this the missing piece?

Over the last year, AI coding assistants have gone from being a novelty to becoming part of many developers' daily workflow. Whether you're using Cline, Cursor, Windsurf, Roo, or any of the newer AI-p

PMPunyasloka Mahapatrapunyasloka-mahapatra.hashnode.devMar 22 · 5 min read

📈 OpenClaw Is Trending—But Does It Actually Fix AI Development?

If you’ve been following the AI space recently, you’ve probably noticed one thing—OpenClaw has been all over the trends. It’s popping up in discussions, developer threads, and conversations around mod

PMPunyasloka Mahapatrapunyasloka-mahapatra.hashnode.devMar 14 · 8 min read

🗄️ Inside Vector Databases: The Technology Powering Semantic Search and AI Assistants

Modern AI systems are expected to understand meaning, not just words. Imagine searching for something in your internal knowledge base. You type: How can I improve my coding skills?” But the system f

PMPunyasloka Mahapatrapunyasloka-mahapatra.hashnode.devJan 25 · 5 min read

🧵Why Threads Matter: A Practical Guide to Concurrency in Java

If you’ve ever booked a cab during rush hour, you know how much happens in just a few seconds. The app checks nearby drivers, calculates fare, applies surge pricing, estimates arrival time, and confirms your booking — all without making you wait afte...

PMPunyasloka Mahapatrapunyasloka-mahapatra.hashnode.devJan 11 · 6 min read

🧠 Optimizing Tokens: Pruning Techniques for Efficient AI Responses

What Is Pruning? In modern AI systems—especially Large Language Models (LLMs)—tokens are expensive. Every word, symbol, or subword processed by a model consumes memory, compute, latency, and cost. As prompts grow longer and retrieved contexts become ...

Punyasloka Mahapatra

About

Available for

Punyasloka Mahapatra's blogs

Recently published

Memory Banks: Is this the missing piece?

📈 OpenClaw Is Trending—But Does It Actually Fix AI Development?

🗄️ Inside Vector Databases: The Technology Powering Semantic Search and AI Assistants

🧵Why Threads Matter: A Practical Guide to Concurrency in Java

🧠 Optimizing Tokens: Pruning Techniques for Efficient AI Responses

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Punyasloka Mahapatra

About

Available for

Punyasloka Mahapatra's blogs

Recently published

Memory Banks: Is this the missing piece?

📈 OpenClaw Is Trending—But Does It Actually Fix AI Development?

🗄️ Inside Vector Databases: The Technology Powering Semantic Search and AI Assistants

🧵Why Threads Matter: A Practical Guide to Concurrency in Java

🧠 Optimizing Tokens: Pruning Techniques for Efficient AI Responses