Nikhil Rajendra
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Nikhil Rajendra Email & Phone Number

Member of Technical Staff at OpenAI
Location: San Francisco Bay Area, United States 13 work roles 2 schools
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Role
Member of Technical Staff
Location
San Francisco Bay Area, United States
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Nikhil Rajendra is listed as Member of Technical Staff at OpenAI, a with 6880 employees, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Nikhil Rajendra.

Nikhil Rajendra previously worked as Senior Staff Data Engineer at Slack and Staff Data Engineer at Slack. Nikhil Rajendra holds Master'S, Management Science And Engineering from Stanford University.

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OpenAI

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Profile bio

About Nikhil Rajendra

Passionate about building data driven services with a focus on performance, reliability, and scalability.6+ years of experience in roles ranging from Data Scientist, Data Engineer, Tech Lead to Technical Manager.Specific technologies that interest me include data science, distributed computing & databases, streaming, event sourcing, containerization, and functional programming paradigms.

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OpenAI
Openai
Member of Technical Staff
California, United States
Website
Employees
6880
AeroLeads page
13 roles

Nikhil Rajendra work experience

A career timeline built from the work history available for this profile.

Member Of Technical Staff

California, United States

Senior Staff Data Engineer

San Francisco Bay Area

Staff Data Engineer

San Francisco Bay Area

Aug 2019 - Aug 2022

Senior Data Engineer

San Francisco Bay Area

Nov 2018 - Aug 2019

Senior Data Engineer

San Francisco Bay Area

* Lead the migration from our legacy data warehouse with over 80 billion rows and multiple services to a managed distributed database. Architecting the system to be performant and cost effective as we scale both data-points and load. Redesigned large batch jobs to simpler incremental computation utilizing event sourcing patterns, treating data as an immutable sequence of events.* Built a platform for transferring real time data from MySQL to multiple destinations using append only binary log files. The platform ensured exactly-once delivery, transactional support, historical replay and fault tolerance. The platform allowed decoupling of data ingestion from downstream clients, enabling each client to consume data independently.* Increased deployment cadence by setting processes and guidelines for unbundling releases to a single issue with a direct responsible individual, while continuing support for shared environments for integration & load tests, feature bake in and hot fixes.* Implemented a multi billion row recent data cache using PostgreSQL with a moving window design of daily partitioned tables. Dropping partitions allowed for efficient removal of historical data without expensive deletes, and triggers abstracted away the implementation details allowing clients to read and write to a single table.

Sep 2016 - Nov 2018

Data Scientist & Data Engineer

San Francisco Bay Area

* Research and develop new analytic technologies for the next generation of solar monitoring and fleet management products. Worked closely with both engineering and analytic teams, to take an idea from prototype to production release* Implemented an alerting engine to generate custom events related to solar assets using time series generation data (Ex: System Disconnect, Zero Generation). The system was designed with a strong focus on testing, and an ability to simulate any condition necessary to recreate an existing event.* Expanded geographic coverage of Virtual Irradiance product - a machine learning based image processing pipeline for transforming satellite imagery into irradiance predictions.

Jun 2013 - Sep 2016

Technical Manager

Stanford

Coordinated the implementation of three Facebook applications for ARPA-e, Department of Energy project.http://changelabs.stanford.edu/

Oct 2012 - Jun 2013

Programmer

Stanford

Developed a software tool using graphical models and machine learning algorithms to unearth patterns and predictive signals in a dataset of measurements from cancer patients.

Oct 2012 - Dec 2012

Data Scientist - Intern

San Francisco Bay Area

* Designed and implemented a data product 'Photovoltaic Performance Disaggregation' (Waterfall Chart), to drive insight into the performance of solar assets at system and fleet level. * Developed patented algorithms to determine shading, degradation and downtime loss.* Demoed the product at Solar Power International ’12 and received exceptional reviews.http://www.locusenergy.com/solutions/analytics

Jun 2012 - Sep 2012

Web And Media Assistant

Stanford, Ca

Created and managed websites for Stanford Technology Venture Program and Stanford Entrepreneurship Network.http://stvp.stanford.edu/

May 2012 - Sep 2012

Project Intern

Palo Alto, Ca

Worked on supply/demand matching and forecasting of the Laser Jet Printer line. Developed an analytical model to understand and predict global demand patterns.(Part of MS&E 262 course - Supply Chain Management)

Apr 2012 - Jun 2012

Project Assistant

Bengaluru Area, India

1. Disaster reporting system utilising the Ushahidi engine.Developed a disaster reporting system by adapting the ‘Ushahidi’ open source platform based on crowd sourcing. The system allows users to report incidents via SMS, Twitter or e-mail and the information would be logged onto Google maps for other users to view.Duration: August 2010 to September 20102. Non-collaborative and Non-invasive face detection and recognition as a part of Pilot Biometrics project of Aerospace Network Research Consortium (ANRC) for Boeing.Multiple cameras are used to capture various angles of an individual and the surroundings. Face detection and recognition algorithms are employed to uniquely authorise the pilot in the cockpit. The project involved implementing Digital Image processing algorithms.Duration: August 2010 to February 20113.Traffic Analytics using OpenCV.A real time integrated traffic monitoring and analysis system which consists of cameras and microphones installed at traffic islands. Live streams are transmitted to a central location and broadcast on social networking sites for users to access. Simultaneously video analytics are performed on the live stream in order to determine and estimate information like traffic density, detect exceptions and camera tampering.Duration: September 2010 to December 20104. Android Application Development as a part of Common Sense Net 2.0 project in collaboration with EPFL (École Polytechnique Fédérale de Lausanne), Switzerland.Developed an Android application as an interface for farmers to access information related to weather forecasts, news, rainfall, market prices etc and to measure usage statistics of the mobile application for the client. The application is developed to be completely user friendly incorporating audio and visual elements, so that the application can be used by illiterate individuals as well.Duration: January 2011 to July 2011

Aug 2010 - Jul 2011
Team & coworkers

Colleagues at OpenAI

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2 education records

Nikhil Rajendra education

Master'S, Management Science And Engineering

Activities and Societies: Stanford Elections Commission (Assistant Commissioner for Graduate Students), The Stanford Green Store.

FAQ

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What company does Nikhil Rajendra work for?

Nikhil Rajendra works for OpenAI.

What is Nikhil Rajendra's role at OpenAI?

Nikhil Rajendra is listed as Member of Technical Staff at OpenAI.

Where is Nikhil Rajendra based?

Nikhil Rajendra is based in San Francisco Bay Area, United States while working with OpenAI.

What companies has Nikhil Rajendra worked for?

Nikhil Rajendra has worked for Openai, Slack, Locus Energy, Stanford Changelabs, and Stanford University.

Who are Nikhil Rajendra's colleagues at OpenAI?

Nikhil Rajendra's colleagues at OpenAI include Matt Richard, 廖彦华, Hyper Robotics, John Dunn, and Kenan Işık.

How can I contact Nikhil Rajendra?

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What schools did Nikhil Rajendra attend?

Nikhil Rajendra holds Master'S, Management Science And Engineering from Stanford University.

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