Subham patnaik

Today’s takeaway: Kubernetes isn’t just about containers. The real magic is how the control plane (master node) manages worker nodes to keep applications running reliably and at scale. Also spent time strengthening Linux fundamentals since they’re the backbone of devops

Day 19/100 Today I learned: • Kubernetes Architecture • Master Node and Worker Nodes • Core Kubernetes Components • 4 different ways to create a Kubernetes cluster • Basic Linux commands for system administration Also continuing my DevOps learning journey

Life Update I’ve been a bit inactive lately. The reason? I unlocked a new achievement: DevOps Engineer in Hyderabad. The last few weeks have been a mix of interviews, onboarding, learning new things, and convincing servers not to surprise me. Also squeezed in some AI learning

@lumishkaa Tysm

@Subhammmmmmmmm keep goingg!!

Day 17 & 18/100 • Completed around 50% of my AI-powered web scraping project • Built the scraping pipeline and data extraction flow • Started processing scraped content for AI-based analysis • Improved the project structure and workflow Solved: • 4 Leetcode problems

Project update The scraper is now able to collect and process website content successfully. Next step • AI-powered summarization • Structured information extraction • Website Q&A using LLM It’s exciting to see the project slowly evolve from an idea into something working

Also, I’m open to ideas What features would make an AI-powered web scraping project more interesting or useful?

Day 16/100 Today’s learning: • Started a new web scraping project • Set up the development environment • Configured API keys and project dependencies • Planned the project architecture and workflow #BuildInPublic #WebScraping #Python #GenAI #AIEngineering

Today’s takeaway: The quality of an LLM’s output often depends more on the prompt than the model itself. A well-structured prompt can improve accuracy, consistency, and reasoning without changing the underlying model. Still exploring AI Engineering deeply

Day 15/100 Today I learned: • Prompt Engineering basics • System, User, and Assistant messages • How prompts influence LLM responses • Temperature and token parameters Also: • Solved 2 LeetCode problems #BuildInPublic #PromptEngineering #LLM #GenAI #AIEngineering

@shivi1026 @ShradhaKhapra_ @ApnacollegeX Great consistency, keep crushing it!

Day 11/100 of AI/ML journey Finished learning Pandas today! Tomorrow: 🔹 More Pandas practice 🔹 Then starting Data Collection

@itsmenikhitha Nike Dunks retro have an aura among college students

guys , help me out. Looking to gift my brother a nice pair of shoes on his birthday. Budget’s around 12k. Drop your best picks.

@vadym_petryshyn Good catch! I’m using RunnableWithMessageHistory mainly for learning the fundamentals of chat memory. I’ll definitely explore the newer LangChain-recommended alternatives as I go. 
 Thanks for the heads-up!

Day 14/100 Today I learned: • How chatbots can remember previous conversations using chat history • Session-based memory management with RunnableWithMessageHistory • How prompt templates help guide LLM behavior with predefined instructions #BuildInPublic #LangChain #LLM

Today's takeaway: An LLM doesn't remember anything by default. Memory is created by storing conversation history and associating it with a session ID. Combined with prompt templates, this allows us to build chatbots that can maintain context and respond more consistently.

Today’s takeaway: LLMs are only as good as the context they receive. A good retriever can often improve answers more than a larger model because it delivers the right information at the right time. Open to suggestions and resources on RAG and LLM Engineering

Day 13/100 Today I learned:
• Semantic Search
• Similarity Search in Vector Databases
• Metadata Filtering
• Retriever concepts in LangChain Solved:
• 3 LeetCode problems #BuildInPublic #RAG #LangChain #LLM #GenAI

Day 1/20 for learning recursion 1. sort a stack using recursion 2.reverse a stack using recursion 3. LC:606:Construct String from Binary Tree

@RajGupta245462 Damn good point man Let’s connect

Day 9/100 Today I learned: • Data Collection for LLMs • Data Accumulation Techniques • The importance of high-quality datasets in AI systems Also: • Cleared 3 interview rounds • Solved 2 LeetCode problems #BuildInPublic #LLM #GenAI #AIEngineering #LeetCode

@AayushSainii Thanks G❤️

Great point on this.