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Articles by Venkataraghulan (7)
Outcome-Based Education & Employability: Aligning NEP 2020 with Placements
Outcome-based education and employability are the same goal described twice: define the graduate you want, then design and measure backward. How to align the two.
AI Skills for Engineering Students: What to Teach, and When
The useful question about teaching AI is not only what, but when. A year-by-year sequence that puts fundamentals first and treats judgment as the real AI skill.
Coding Readiness: Helping More Students Write Production-Ready Code
Production-ready code is correct, readable, tested, and maintainable, not just code that runs once. How to help more students, not only the toppers, reach that bar.
Mapping AI & Data Skills into a 4-Year Engineering Curriculum
The hard part of adding AI and data to a degree is fitting it into four already-full years. How to map it into the existing structure using NEP 2020, not bolt it on.
The Skills Recruiters Expect from Freshers in 2026: A Checklist
A practical checklist of what recruiters actually screen freshers for in 2026, grouped into a durable core and a current technical layer, with the realistic bar for each.
AI and Fresher Hiring: What the Shift Means for Your Placement Cell
AI is not removing entry-level engineering roles. It is raising the floor of what they assume. Here is what that asks of a college placement cell, in practical terms.
Skill-Gap Analysis for Colleges: Spot Readiness Gaps Before Drives
A baseline skill-gap analysis, including AI fluency, shows a college exactly where its students stand, so it can act before drives instead of after rejections.