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ML is fun… until deployment feels like ‘Gadha Majdoori’. But guess what? Pipelines fix that. Read the full breakdown in my latest Medium post
Founder | Agentic AI... • 1m
Most ML models never make it past the notebook. Production is a different game entirely. I chose to focus on MLOps years ago. It changed my career trajectory. If you're starting out, build real systems early. Here are six beginner-friendly projec
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👋 Hello Startups! IT Engineer Seeking Exciting Opportunities in India 🚀 Hey everyone! I’m Anup Thatal, a software & data engineer with over 3 years of hands-on experience building scalable web apps, APIs, and digital infrastructure — especially in
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Tools come and go. Fundamentals last. Every month, a new framework emerges. Every quarter, a new model dominates headlines. But lasting impact comes from mastering the core. Here’s what always matters: Problem Framing - turning vague ideas into pr
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Feeling lost with so many AI/ML books and which one to read? These are 9 curated books that actually teach you how to build, ship, and scale real AI systems. No fluff. No filler. Just actionable knowledge. 1. AI Engineering - Chip Huyen Covers eve
See MoreDigital Marketer | S... • 15d
Nvidia just solved the biggest bottleneck for Agentic AI (OpenShell & NemoClaw) 🚀 Building with AI agents is great until you realize you're essentially handing over the keys to your entire system. For SaaS founders and developers, security is the r
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AI Deep Explorer | f... • 11m
My Favorite AI & ML Books That Shaped My Learning Over the years, I’ve read tons of books in AI, ML, and LLMs — but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst
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