OpenNashPodcasts

Person

Anekha Sokhal

1 episodes · 14 quoted claims

Sokhal studied mathematics, operational research, statistics and economics (MORSE) as an undergraduate at the University of Warwick.

“my undergraduate degree was mathematics, operational research, statistics and economics, MORSE at Warwick.”

Latent Space: The AI Engineer Podcast · 0:02:08

Sokhal began her trading career at J.P. Morgan on the emerging markets desk and then moved to commodities.

“So I got my first internship, um, in investment banking and trading, and then got an internship at J. P. Morgan, where I started, and I started on the emerging markets desk and then moved to commodities.”

Latent Space: The AI Engineer Podcast · 0:02:56

Sokhal's parents run a jewelry business, and she ran a computer vision side startup at university before founding Moshi.

“my parents have a jewelry business. I side hustled a computer vision startup before my startup at university”

Latent Space: The AI Engineer Podcast · 0:04:06

Sokhal says gas markets had extreme volatility in 2020 during Covid, and she discussed this in her Fulbright interview.

“I don't know if you remember 2020 when it was Covid, and gas markets were going crazy, so there was there was like gas markets had insane volatility.”

Latent Space: The AI Engineer Podcast · 0:04:34

Sokhal did machine learning research in the US, publishing at ICLR with Stability AI and working with NASA.

“was deep in machine learning research, published at I C L R with Stability A I, worked in collaboration with NASA”

Latent Space: The AI Engineer Podcast · 0:05:08

Moshi provides real-time insights for financial traders, starting with commodity, energy and macro markets.

“we provide real time insights for financial traders, starting with commodity and energy markets and macro markets.”

Latent Space: The AI Engineer Podcast · 0:05:46

Sokhal says Moshi learns about 300 new things in the four seconds it takes her to say one sentence.

“it takes me four seconds to say the sentence to you, and in the same amount of time, Moshi has learned 300 new things.”

Latent Space: The AI Engineer Podcast · 0:06:16

Moshi splits market data into structured data, such as futures time series and technical indicators, and unstructured data, such as news and social media.

“there's structured data and unstructured data. There's there's the time series of the futures market, and there's all of the technical analysis around it.”

Latent Space: The AI Engineer Podcast · 0:06:41

Sokhal says energy trading firms may keep private data, such as a person tracking LNG ships through the Strait of Hormuz, which Moshi can combine with public data.

“they will have their person for the amount of L N G ships going through the Strait of Hormuz.”

Latent Space: The AI Engineer Podcast · 0:08:11

Moshi has an internally built recommendation system that surfaces related, indirect effects for a trader looking at a given market.

“We actually have a recommendation system, which we've internally built, which is if you're if you're a trader and you're looking at one thing”

Latent Space: The AI Engineer Podcast · 0:10:13

Sokhal says a single Moshi job posting drew 2,500 applicants in four days, so the company closed it.

“we had one job up, we had to close it. It was open for four days, we had 2,500 applicants.”

Latent Space: The AI Engineer Podcast · 0:24:14