Founder | Agentic AI...Ā ā¢Ā 22d
Most people learn AI randomly. Thatās why they struggle moving from experiments to real production systems later. A strong AI career needs structured depth across fundamentals, systems thinking, modeling, and product execution. Not just model tutorials. Not only prompt engineering. Start with foundations that teach machine learning intuition, data workflows, and clear analytical communication skills. Core concepts matter first. Tools change constantly. Demand lives here. Few engineers specialize early. System design is where many ML practitioners hit limits when scaling models reliably. Production changes everything. Architecture becomes critical. Generative AI requires understanding patterns, agents, orchestration layers, and software design decisions together. GenAI is engineering now. Not experimentation anymore. Finally, study product strategy because successful AI systems solve problems people actually pay for. Impact beats complexity. Adoption defines success. One structured learning stack can connect research knowledge directly to deployable AI systems. You must build depth intentionally.
Hey I am on MedialĀ ā¢Ā 1y
Building AI agents is 5% AI, 100% engineering: 1. Integrate seamlessly with existing systems. 2. Enable human-AI collaboration. 3. Ensure reliability in production. 4. Design for real-world scale. 5. Monitor continuously. Your AI is only as str
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Founder | Agentic AI...Ā ā¢Ā 24d
What we once called Data Science is quietly transforming into something much broader today. Earlier, the formula felt simple and clearly defined for anyone entering analytics careers. Statistics plus software skills created the modern data scientist
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Is AI reshaping the world of software engineering? The distinction between AI and traditional software engineering is becoming clearer. Software engineering now goes beyond writing codeāit encompasses designing robust software systems and architectu
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My Favorite AI & ML Books That Shaped My Learning Over the years, Iāve read tons of books in AI, ML, and LLMs ā 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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How to Become a Prompt Engineer in 2025 In 2025, prompt engineering has become one of the most exciting and in-demand skills in the world of artificial intelligence. Whether itās ChatGPT, Gemini, or Claude ā all AI tools rely on clear, structured pr
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š Build Systems That Actually Scale Most businesses donāt fail because of bad ideas ā they fail because their systems arenāt built to grow. At Zephvion Pvt. Ltd., we design stable, scalable, and performance-driven digital systems powered by modern
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Founder | Agentic AI...Ā ā¢Ā 7d
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
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