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Gopal Erinjippurath

CTO & Head of Product at Sust Global

Gopal serves as CTO and Head of Product at Sust Global, a venture focused on geospatial analytics for climate adaptation.

Most recently, he led the Analytics Engineering team at Planet Labs (NYSE:PL), an integrated aerospace and data analytics company that operates history’s largest commercial fleet of earth observation satellites. Planet Analytics serves a range of customers from city planning teams in governments and the World Bank to defense and intelligence functions across the world. He is known for agile engineering execution from concept to scalable high quality products. He has been an invited speaker at global industry conferences like Google Cloud Next and leading technical conferences in the machine learning space such as ICML, CVPR and NeurIPS.

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BOOK NOW FOR your podcast

Gopal Erinjippurath

CTO & Head of Product at Sust Global

Gopal serves as CTO and Head of Product at Sust Global, a venture focused on geospatial analytics for climate adaptation.

Most recently, he led the Analytics Engineering team at Planet Labs (NYSE:PL), an integrated aerospace and data analytics company that operates history’s largest commercial fleet of earth observation satellites. Planet Analytics serves a range of customers from city planning teams in governments and the World Bank to defense and intelligence functions across the world. He is known for agile engineering execution from concept to scalable high quality products. He has been an invited speaker at global industry conferences like Google Cloud Next and leading technical conferences in the machine learning space such as ICML, CVPR and NeurIPS.

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As seen on

“Sust Global transforms complex climate data into granular financial signals with best-in-class data integration into customer workflows. Sust Global’s industry-first platform enables investors and businesses to assess the physical climate risks facing their business, measure the emissions their assets produce, and build climate-ready financial products and services.”

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“This group of experts discussed how the new sensors and satellite constellations being deployed to low earth orbit lowers the cost of acquiring raw geospatial data. And, when combined with advances in geospatial data platforms, interoperable datasets, distributed computing, and modern computer vision techniques, this data presents endless possibilities for analysis that will enable increased understanding of our planet and create new opportunities for commercial value.”

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“Because Stanford is one of the world’s leaders in machine learning, the potential for new discoveries and innovation are intriguing for Gopal Erinjippurath, Planet’s senior director of analytics engineering.

‘At Planet, we are constantly experimenting with machine learning approaches to derive critical geospatial insights served at a global scale,’ says Erinjippurath.”

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“Recent innovations in agile aerospace have created unique offerings in high cadence satellite imagery. While this is of immense interest to imagery analysts, a significant portion of GIS professionals and geo-data scientists work less with raster data (AKA imagery) and more with point and vector data. Planet operates the world’s largest constellation of earth observation satellites providing near-daily coverage of the entirety of Earth’s landmass. Over the past couple of years, we have been working on bringing computer vision and spatiotemporal analysis to market to enable access and data transformations on this rich imagery archive.”

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Timeline

2020 - Present

Sust Global

CTO & Head of Product

logoOctober2021

2020 - Present

2017 - 2020

Planet

Senior Director, Analytics Engineering

Planet logo New

2017 - 2020

2016 - 2017

Captricity

Technical Architect

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2016 - 2017

2015 - 2016

Looksio

Co-Founder & CTO

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2015 - 2016

2006 - 2015

Dolby Laboratories

Senior Manager, Advanced Technology Group

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2006 - 2015

2006 - 2006

QBit

Research Scientist

2006 - 2006

Ask me

About the mission of Sust Global.
How have you successfully grown Sust Global during the pandemic?
What does the future of climate analytics look like?
What does a successful analytics engineering team look like?
What goes into designing innovative climate tech products?

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nathan@kitcaster.com

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