Founder | Agentic AI... • 21d
Your backend skills don’t define you. Your response to failure does. That’s the real test. That’s where trust forms. Backend engineering isn’t about proving your decisions are always perfectly correct forever. It’s about adapting quickly. Systems will fail sometimes. That’s guaranteed reality. Deployments will break unexpectedly during critical releases when pressure feels highest suddenly. Schemas will hit limits. Scaling exposes hidden flaws. Design choices you once defended will eventually need complete rethinking and replacement. That’s part of growth. That’s part of engineering. Strong engineers don’t hide mistakes or shift blame when things go wrong. They take responsibility fully. They fix the root. They learn immediately. They evolve their thinking. Reliability isn’t built on perfection. It’s built on accountability and consistent learning cycles. Teams notice that fast. Systems reflect it too. Progress belongs to engineers who adapt faster than their assumptions break reality.
Founder | Agentic AI... • 1m
Software engineering is about to split. One side shrinks. The other becomes more valuable than ever. Anthropic CEO Dario Amodei recently said AI may handle most of what engineers do within 6-12 months. That grabbed attention. But the important par
See MoreFounder | Agentic AI... • 11d
Most people learn AI randomly. That’s 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 tutor
See MoreFounder | Agentic AI... • 10d
Most engineers learn AI from tutorials alone. The fastest learners study how builders actually think while creating the future. Real insight rarely comes from documentation or courses explaining already solved technical problems. Conversations reve
See MoreHelping businesses g... • 2m
These jobs will be in crazy demand by 2026. Almost nobody in India is preparing for them. Not engineers. Not MBAs. Not even most professionals. Because these roles don’t come from degrees. They come from new problems created by AI, creators, and fa
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Lead Engineer, R&D |... • 1y
What's actually going to happen to software engineers: The cycle of tech prophecies continues: 1970s: "COBOL will replace programmers" 1990s: "Visual tools will replace coders" 2010s: "Low-code will eliminate developers" 2023: "AI will replace engi
See MoreFounder | Agentic AI... • 13d
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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