What are the top 10 ranks from IITJEE, the hardest exam in India, 1987 doing today?
1M compete for 10k slots in engineering at IIT. People believe a top rank is a made life. Is it, 37 years on?
4 Profs, 2 founders, 2 financiers, 2 tech and 4 in India and 1 big on X!
🧵
1/13
Rank 1 — Rajesh Gopakumar
One of the best string theorists.
— From Calcutta, did Physics at IITK, not CS
— Princeton PhD, research at Harvard
— Moved back to India to be a Prof at TIFR in Bangalore
— Fun fact: ICTS was funded in large part by Jim Simons of RenTech
2/13
Rank 2 — Alok Sharma
Hedge fund guy.
— Went to IIT and then IIM Ahmedabad
— Spent 19yrs and became an MD at Bank of America
— Got an MBA at Booth in the meanwhile
— Was an MD at Millenium for 10yrs
— 5yrs at a $12B AUM hedge fund in NYC
3/13
Rank 3 — Soumen Chakrabarti
The Professor.
— Also from Calcutta, did CS at IIT Kharagpur and a PhD from Berkeley
— Spent some time at IBM Research
— Returned to India to be a Professor of CS at IIT Bombay
— Wife is rank 16 Sunita Sarawagi who is also a Prof at IITB
4/13
Rank 4 — R Govindarajan
The tech careerist
— IIT Madras and then MS from UMaryland
— 15yrs ar Oracle
— Went to India for 10yrs at various firms most notably Myntra and was a startup CTO
— Came back to be Sr Director at Oracle before being head of LLM at ServiceNow
5/13
Rank 5 — Rajeev Singh
The bootstrapped entrepreneur.
— Went to IIT Kanpur for CS and later did an MBA at Columbia
— Was a PM at a tech firm before starting a supply chain automation business in Delhi, IntelliPlanner.
6/13
Rank 6 — Krishna Kunchithapadam
Mystery man.
— Went to IIT and then seems to have done an MS at UWisconsin for 7yrs
— Spend 18yrs at Oracle
7/13
Rank 7 — Amod Agashe
The Mathematician.
— IIT Bombay, Stanford MS electrical before Berkeley PhD in math
— Hopped around Europe and India to do research
— Professor at various places, eventually FSU!
8/13
Rank 8 — Ravi Sundaram
Tried the industry, back to academia.
— IIT Madras CS and then a PhD from MIT
— Worked at a trading firm before being Director of Engg at Akamai
— Went back to being a Professor at Northeastern
9/13
Rank 9 — Rajaraman Krishnan
The bootstrapped entrepreneur.
— IIT Madras CS and then MS at UNC
— Worked at GE and Fujitsu
— Started and ran Solnet for 25yrs before it seems to have been acquired by Accenture
10/13
Rank 10 — Swami Nathan @avataram
The financier (who loves watches).
— IIT Kanpur CS and an MBA for IIM Bangalore
— Worked at various financial institutions across Mumbai, Dubai, Spain and NYC
— Now an MD at Vega, a hedge fund in the Cayman Islands
11/13
In this year, of the 10 people:
— 4 Profs, 2 founders, 2 financiers, 2 tech
— 4 India, 4 in US, 1 Singapore, 1 Cayman
— All Profs aren't equal. Gopakumar is a legend.
This isn't meant to be a success test, but a peek into how life plays out for those once at the very top!
12/13
Source: I'm using a proprietary dataset from 1985 - 2000. Clearly IIT is a sore topic given the few upset comments "why you posting you didn't even go"
Nonetheless, I've covered '86, '87, '98, '92, '09 and will be posting more in the coming months. Follow if interested!
13/13
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If these 3 Japanese companies you've never heard of went down, all modern digital infrastructure (and every AI breakthrough) would grind to a halt.
Here's the story of JSR, Tokyo Ohka Kogyo (TOK) and Shin-Etsu, the most important companies you've never heard of...
1/7
These 3 control 80% of the global EUV photoresist market.
Photoresists are exotic light-sensitive chemicals that enable the patterning of circuits on silicon wafers when UV or EUV light hits these materials through a mask.
How did they achieve this dominance?
2/7
The chemistry is insanely complex.
They use ~30-50 proprietary compounds and 1000s of patents. It responds to extreme ultraviolet light at 13.5nm wavelengths.
The patterns are smaller than DNA strands and require decades of expertise.
🚨 This was the BEST Google I/O that I can remember.
Google launched over 12 different insane things.
Here is every single one of the launches and the best tweets about them:
1/12
The future of building software.
LLMs are pretty good at generating code, but they're slow. Gemini Diffusion is 10-15x faster than autoregressive models by using diffusion, which used to be for images. This is the 2nd model after Mercury Small to show this.
Google, Microsoft, Apple, Tesla, Meta, Nvidia and Palantir - the biggest tech employers have collectively stagnated headcount, data shows.
This is why CS majors can’t get jobs. Bigtech hypergrowth era is over.
Here's why:
1/4
— They overhired in the pandemic (2020-2022) during zero interest rates
— Revenue growth of several consumer software products peaked in the pandemic but slowed after it was over
— Higher interest rates force CFOs to juice operating margin
2/4
— Cost of capital shot up and many had to place high capex bets in gen AI infra (chips)
— AI productivity gains
Is this the new normal? Does Microsoft having 400k vs 200k people actually 2x the business?
Google's new AI image editing model is going to kill 99% of Photoshop.
By just describing your image edit in English, you can:
— get passport picture from photo
— make me look like I'm on my way to work
— decorate this house for me
— put these clothes on me
— make a map in a game from these sprites
— animate this sprite
— combine all these faces together
— show this model holding my product
— make me bald / give me hair
You can access Gemini Flash 2.0 experimental on Google AI studio.