VivaPrep

bKash bTechWhiz — Advanced Research Engineer

Viva voce, 14 July — drill it here first.

151 bilingual (EN/BN) questions across 9 modules, mapped to a real Bangladeshi ML viva: rapid conceptual fire, math word-problems, small on-paper code, open-ended scenario design, and research-paper defense. Selected candidates move to the semi-final, also on the 14th — this bank covers both.

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Modules

9 modules · syllabus order
Module 127 Q

ML Fundamentals

Supervised/unsupervised, bias-variance, regularization, evaluation metrics.

Module 222 Q

Neural Networks & Deep Learning

Forward/backprop, activations, batch norm, vanishing gradients, CNN/RNN basics.

Module 319 Q

NLP Essentials

Tokenization, TF-IDF vs embeddings vs transformers, attention intuition.

Module 418 Q

Math for AI

Linear algebra, probability, statistics, calculus intuition — no heavy proofs.

Module 517 Q

DSA Refresher

Arrays, strings, linked lists, trees, complexity — the "small code" viva slice.

Module 617 Q

Python / SQL / Data Manipulation

pandas fluency, basic SQL (SELECT/JOIN/GROUP BY), numpy from-scratch drills.

Module 715 Q

Scenario & System Design for ML

Open-ended design questions — CCTV counting, fraud detection, model diagnosis.

Module 85 Q

Research Paper Reading

How to dissect a paper + defend your own thesis/project under questioning.

Module 911 Q

Viva Soft Skills

Self-intro, "why bKash", CV deep-dive prep, questions to ask the panel.