Video Summary - 🔥 Best MTech CSE Placement 2024: 99% Placed in JUST 3 Days! ⏳💥

Placement Outcome (IIT Madras, MTech CSE)

Total students appeared: 75
Placed within ~3–5 days: 73
Placement rate by day ~4–5: ~99%
Date mentioned: 10th December (video context suggests ~5 days had passed by then; ~2 remaining)

At least one MTech CSE student reportedly got offers from major companies including:

Google, Texas Instruments, IBM, Oracle, Samsung R&D / Samsung Semiconductor, Ola Electric, American Express, Walmart, Amazon, Qualcomm, Flipkart, Nvidia

Additional (mostly smaller) companies listed—generally estimated as ~1 student each by the creator—include:

NSE, Hero MotoCorp, TVS, WD Storage, Aptive, Mahindra? (appears as garbled “Ms idea / hero motop” due to subtitle noise),
Honda R&D, Am Labs, Conven AI, Caterpillar, Neutronics, Seon Strape, Ornito AI, Havs, Prim AI

Note: Some names appear partially garbled due to subtitle/subtitles noise.

Google: 2
Texas Instruments: 8
IBM: 4
IBM Research: 1
Oracle: 3
Samsung R&D: 1
Samsung Semiconductor: 1
Ola Electric: 2
American Express: 3
Walmart: 4
Amazon: 1
Qualcomm: 2
Flipkart: 2
Nvidia: 1
Other companies: “roughly 1 student each”
Scale claim: “~30+ companies visited” (approximate, based on gathered data)

Google: Base 20 LPA, CTC 38 LPA
Texas Instruments: Base 20 LPA, CTC 40 LPA
IBM: Base ~22–24 LPA, CTC 25 LPA
Oracle: Base 17 LPA, CTC 34 LPA
Samsung R&D: Base 17 LPA, CTC 24 LPA
Samsung Semiconductor: CTC 34–44 LPA (subtitle indicates “best and CTC”; exact base not clearly stated)
Ola Electric: Base 15 LPA, CTC 34 LPA
American Express: Base 17 LPA, CTC 24 LPA
Walmart: Base 18 LPA, CTC 26 LPA
Amazon: Base 28 LPA, CTC 58 LPA (creator notes stock/RSU-heavy structure)
Qualcomm: Base 18 LPA, CTC 48 LPA
Flipkart: Base 17 LPA, CTC 32 LPA
IBM Research: Base 20 LPA, CTC 40 LPA
Nvidia: Base 18 LPA, CTC 36 LPA

Important caveat: The creator explicitly states these base/CTC numbers are approximate (not exact per offer letters).

Speed of execution: Achieving ~73/75 placements within the first 3–4 days suggests an efficient placement pipeline (high recruiter participation + rapid offer conversion).
Recruiter strategy: Large brands spanning multiple tracks (Google/Amazon/Nvidia/etc.) suggest a broad GTM-style matching of roles to candidate profiles, rather than depending on a few firms.
Compensation benchmarking: The creator highlights that average CTC (~30 LPA) and average base (~20 LPA) indicate strong market positioning reflected in the department’s hiring outcomes.