AI Career:
Strategy to Lead
Transitioning into AI or growing within it takes more than upskilling — it requires a clear strategy, the right narrative, and structured preparation. These articles are built from mentoring 100+ professionals across backgrounds, industries, and career stages.
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5 AI Projects That Get Freshers Hired
Five beginner-friendly AI engineering projects that build real skills and stand out on a resume — Text-to-SQL, offline AI assistant, RAG chatbot, cold email generator, and LinkedIn content writer. Each includes a full build guide, tech stack, and the one thing that makes it stand out.
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5 Advanced AI Projects for Faster Career Growth
Five production-grade AI projects for experienced engineers — production RAG with CI-gated evaluation, AI system observability, fine-tuning with LoRA & DPO, AI code reviewer on GitHub Actions, and enterprise RAG with role-based access control.
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Transitioning into AI: A Structured Guide for Professionals
Navigating the shift from traditional roles into AI/ML — structured guidance for professionals making the leap.
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The DRIVE Framework: How to Answer Any AI Interview Question With Confidence
A structured five-stage framework — Define, Recommend, Implement, Validate, Effect — to ace AI case studies, system design, and project walkthrough questions.
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