Started with basic DSA (Arrays)
Probability, Stats
Classical Machine Learning (Regression, KMeans Clustering),
Went deep dive into to deep learning like CNN, RNN.
Vision Transformers , GPT, LLM parameter efficient fine tuning.
I applied through university. The process took 2 days. I interviewed at Meesho (Bengaluru) in Dec 2025
Interview
They started with a dsa question. Triplet sum. The direct question from leetcode. I did it using hash, he expected me to do like optimal pointer approach. I tried but didn't went with it. The testcases passed. They went to ml/dl questions. Most of them are about roc,auc, normalisation, standardization, null hypothesis, descision trees, mlps
I applied through university. The process took 1 day. I interviewed at Meesho (North Guwāhāti) in Nov 2025
Interview
It was in depth process .They asked the derivation of the equations for the models i have mentioned in my resume. they also asked dsa questions which were leetcode medium
Interview questions [1]
Question 1
Knapsack 0/1 dp problem and longest subarray with sum=0
Rejected in first round. Dont know about the later rounds. I dont know how hard the later rounds would have been. They could be difficult, but i dont know. It is not possible for me to tell how hard the later rounds will be.
it is really tough to say.