Gopal Erinjippurath

Gopal Erinjippurath

Senior Director, Analytics Engineering at Planet

 LinkedIn profile

Seniority

10 Years

Hierarchy

Executive

Management Experience

Career Path
Leadership
Personal growth
Succession Planning
Team processes
Data team
Product Team
Scaling Team

Hi everyone! My name is Gopal Erinjippurath and I am an Engineering leader with a background in machine learning and imagery analytics. I drive agile, aligned product delivery by innovating products with foundational technologies and scaling those technologies across ecosystems. Currently I head up the Analytics Engineering function at Planet Labs where I lead an engineering organization of 4 teams with 20+ engineers. One of my key accomplishments is the launch and scaling of our first product, Planet Analytics, which was developed in the last year and delivering on multi-million dollar engagements in private beta. Planet Analytics offers geospatial insights and has been embraced by a wide range of customers including defense and intelligence agencies, environmental monitoring, cartography and navigation companies. What is core to my success is delivering products by driving a culture of software powered innovation identifying multipliers including organizational and thought processes, flexible development methodologies, and engaging closely with customers and company leadership. Excited to be joining Plato and thrilled to be contributing to, connecting with and learning from the community here. I look forward to meeting you!

Sorry, I am not currently available for mentoring sessions.

Experience

Senior Director, Analytics Engineering

Planet

Jan 2017 - current

Leading our Analytics Engineering team through launch and customer delivery of Planet Analytics, a new SaaS product line serving geospatial insights on Planet’s satellite imagery. Planet Analytics enables our customers in civil governments, map making and analysis, environmental monitoring and navigation to gain actionable insight. More at https://www.planet.com/products/analytics/ We are hiring MLEs, Data Engineers and Full stack developers. If the scale and scope of what we do inspires you, reach out to me directly! Explore https://www.planet.com/company/careers

Technical Architect

Captricity

Jan 2016 - Jan 2017

Captricity pioneers machine learning techniques targeting enterprise data processing workflows through their SaaS product. Most recently, Captricity has been featured in the 2017 CBInsights AI-100 list. My primary responsibility was to architect machine learning solutions that help our customers migrate their data processing workflows to the cloud, bridging solution engineering and product development for the fastest growing document processing Bay Area startup.

Advisor

Harvesting

Jan 2016 - Jan 2017

Early stage venture advised through conception to early product development during pre-seed days, delivering foundational technology for risk assessment for enterprise using geospatial data. Harvesting enables financial inclusion for farmers in the developing world through a high attach AgriFin platform. We provide predictive capabilities around risk assessment and risk profiling. Check out www.harvesting.co

Co-Founder, CTO

Looksio Inc

Jan 2015 - Jan 2016

Early stage SaaS venture delivering on the vision of making user generated video easily discoverable and licensable to corporate branding teams. I drove technical vision, engineering execution, and product delivery

Research Scientist

Qbit LLC

Jan 2005 - Jan 2006

Qbit LLC was a data compression startup focused on media content. I served as a member of Technical Staff responsible for the development of imaging and video algorithms for lossless processing of surveillance imagery and theatrical content

Graduate Research Assistant - Computational Neuroscience

Biomedical Simulations Resource (BMSR)

Jan 2003 - Jan 2005

Graduate level research into system-level modeling of neuronal ensembles, developing Nonlinear non-parametric models of point process neural information processing. Presented at the Society for Neuroscience Conference 2004, San Diego and results featured in the IEEE EMBS Special Issue 2005

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