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Nima Rad Email & Phone Number

Director Of Engineering - Content Platform at Roku Inc. at Roku Inc.
Location: San Francisco, California, United States 7 work roles 2 schools
1 work email found @roku.com 3 phones found area 202 and 301 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email n****@roku.com
Direct phone (202) ***-****
LinkedIn Profile matched
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Current company
Role
Director Of Engineering - Content Platform at Roku Inc.
Location
San Francisco, California, United States

Who is Nima Rad? Overview

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Nima Rad is listed as Director Of Engineering - Content Platform at Roku Inc. at Roku Inc., based in San Francisco, California, United States. AeroLeads shows a work email signal at roku.com, phone signal with area code 202, 301, and a matched LinkedIn profile for Nima Rad.

Nima Rad previously worked as Director Of Engineering at Roku Inc. and Director of Engineering, Data Analytics at Gap Inc.. Nima Rad holds Bs, Computer Science from University Of Maryland.

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Email format at Roku Inc.

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{first_initial}{last}@roku.com
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Profile bio

About Nima Rad

Proven technology leader in Big Data Analytics and Machine Learning fields with experience in leading 40+ engineering department. Time and again I have revitalized low performing teams and transformed them to a data driven, platform centric groups.

Listed skills include Big Data Analytics, Big Data, Software Design, Java, and 20 others.

Current workplace

Nima Rad's current company

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Roku Inc.
Roku Inc.
Director Of Engineering - Content Platform at Roku Inc.
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7 roles · 17 years

Nima Rad work experience

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

Director Of Engineering

Current

San Jose, California, Us

Leadership and Visionary Strategy:Led cross-functional teams to develop cutting-edge ML/AI solutions, driving strategic initiatives from conception to execution. Defined and communicated the long-term vision for ML/AI and data initiatives, aligning them with overarching business goals. Provided thought leadership in emerging technologies and industry trends, guiding the organization towards innovative solutions.Technical Architecture and Roadmap Development:Designed scalable and robust architectures for ML/AI systems, leveraging state-of-the-art models like BERT, CLIP and various LLMs and technologies such as TensorFlow, PyTorch, and Scikit-learn. Developed comprehensive roadmaps outlining the evolution of ML/AI and Data capabilities, ensuring alignment with business objectives and market demands. Implemented best practices in data management, ensuring integrity, security, and compliance.Hiring and Team Growth:Built and nurtured high-performing, multi-disciplinary teams across multiple timezones, fostering a culture of collaboration, innovation, and continuous learning. Instituted rigorous recruitment processes to attract top talent in ML/AI and data engineering. Provided mentorship and professional development opportunities to empower team members and cultivate leadership skills.Key Achievements:Spearheaded the development and deployment of advanced ML/AI models, resulting in above 20% increase in accuracy and recall.Implemented agile methodologies and streamlined development processes, reducing time-to-market significantly.Expanded the engineering team by 115%, successfully scaling operations to support growing business needs.Expanded team's footprint to other nascent locations.

Apr 2021 - Present

Director Of Engineering, Data Analytics

San Francisco, California, Us

• Leading 3 product groups consisting of 6 teams with 4 leads/managers and 38 engineers across 4 locations. These teams directly impact 16 billion dollars of yearly global sales.• Grown the team through by hiring 3 full time and 4 contractors.• Created FY19 budget and headcount plans for all teams.• Partnered with PdM, TPM and Data Science leads to create product roadmap that fed into the budget.• Created short and long-range plan (LRP) and vision for my teams for FY19 through FY22.• Kick started two product PoC bake-offs by recruiting various vendors and utilizing internal talent.Product Group: Inventory Analytics & Forecasting• Group consists of 3 teams with 3 leads/managers and 26 total head-counts located in SF and India.• Delivering an engine that uses ARIMA forecasting models that predicts product demand for all brands in their stores globally. • High performance real-time and batch delivery service with 99.9% uptime.Product Group: Data Aggregation Platform• This group which is comprised of 1 manager and 13 engineers in 3 locations that own 2 products.• Legacy (version 1.0) data aggregator that gathers information from variety sources and services to all GSC products.• New cloud-based 2.0 platform with improved performance and scalability.Product Group: Vendor Managed Inventory• A self-service system that utilizes forecasting to order inventory from partner producers.Performance Platform Horizontal Initiative • Leading a cross products effort to standardize continuous performance testing through an in-house integrated platform. This effort expands across 3 product lines and 14 engineering teams.

Jul 2018 - Apr 2021

Engineering Manager, Data & Search Platforms

San Mateo, California, Us

Team: Data Analytics Pipeline• Multi-tenant data pipeline with an easy way to add/configure data sources (events, DBs) and publish to Data-Warehouses, BI Solutions and ML & AI Data Lakes. • Process 10+ billion data points a day in near real-time with %99.95 SLA.• Next generation telemetry gathering and reporting system for Client Engineering Analysts that can measure errors, latencies and create quality of service reports.Team: Search Platform• Universal (Cross-vertical) Search Platform for PlayStationo Provide a platform to ingest data and able to query at scale.o Multi-tenant and horizontally scalableo High SLA (99.95% uptime)o Cross-vertical search between multiple document types, joined liveo Use industry leading Machine learning modeling such as Learn To Rank (LTR) to boost relevancy.o Providing Personalized search experience and enables Discovery/Suggestions

Jul 2016 - Jul 2018

Lead Big Data Engineer

Us

• Architect and Lead implementation of a real-time ETL and Reporting solution. This application replaced a the legacy system • Design and lead implementation of a distributed and multi-threaded ETL orchestration application. • Architect and implement a new real-time event processing platform (using Apache Storm) to migrate away from old technologies (Informatica), increase reliability, scalability and shorten the SLA. • Architect and implement a new real-time event processing platform (using Apache Storm) to migrate away from old technologies (Informatica), increase reliability, scalability and shorten the SLA. • Participate in design and implementation of a new Big Data event storage and real-time querying solution using Solr on top of Cassandra and similar technologies. • Form a team and mentor the members in technologies, tools and processes necessary for developing the new big data products.• Work closely with a team of product managers, user experience experts, and quality engineers to build new features.

Jul 2013 - Jun 2016

Senior Software Engineer

New York, Ny, Us

• Design and implementation of Birst’s Hadoop based Big Data Services Cloud with pre-defined Map/Reduce routines and a scripting language for distilling information from large volumes of data and feed to the existing Birst BI SaaS Cloud.• Create built-in cluster management capabilities and advanced job scheduling and monitoring structure.• Designed and implemented Birst Extractor Framework that can be used to connect and extract data from CRM, ERM and similar platforms.• Trained and lead a contracting team to build plug-ins within the Birst Extractor Framework for Salesforce, Netsuite and Marketo.• Design and implement Cloudera certified data extractors as well as an Apache Hadoop compatible web interface to accept data from any network-enabled device and capture the scattered data on Birst HDFS clusters.• Develop test strategies and frameworks to drive up code coverage and automation metrics.• Introduce

Apr 2012 - Jun 2013

Software Engineer

Sunnyvale, Ca, Us

• Engaged in the design and development of cloud service social directory applications and tools.• Provided end-to-end oversight of the social intelligence team’s daily operations.• Established as scrum master and provide oversight on sprint planning and execution.• Supported and extended existing Yahoo! Social Directory (Socdir) products through utilizing existing proprietary Yahoo technologies such as Hadoop, Oozie, Hive, Hbase.• Responded to customer reported issues quickly and worked effectively with the Escalations and Engineering teams to debug complex issues and took ownership of issues until they are resolved.

Jul 2011 - Apr 2012

Software Engineer

Tysons Corner, Va, Us

• Specified, designed, developed, and debugged scalable and high-performance service-based event management web applications.• Created reusable libraries and application frameworks using ASP.NET, C#, SQL.• Performed R&D for latest technologies to be incorporated into the product.

2010 - 2011 ~1 yr
2 education records

Nima Rad education

Bs, Computer Science

University Of Maryland

Bs, Economics

University Of Maryland
FAQ

Frequently asked questions about Nima Rad

Quick answers generated from the profile data available on this page.

What company does Nima Rad work for?

Nima Rad works for Roku Inc..

What is Nima Rad's role at Roku Inc.?

Nima Rad is listed as Director Of Engineering - Content Platform at Roku Inc. at Roku Inc..

What is Nima Rad's email address?

AeroLeads has found 1 work email signal at @roku.com for Nima Rad at Roku Inc..

What is Nima Rad's phone number?

AeroLeads has found 3 phone signal(s) with area code 202, 301 for Nima Rad at Roku Inc..

Where is Nima Rad based?

Nima Rad is based in San Francisco, California, United States while working with Roku Inc..

What companies has Nima Rad worked for?

Nima Rad has worked for Roku Inc., Gap Inc., Playstation, Oracle Responsys, and Birst.

How can I contact Nima Rad?

You can use AeroLeads to view verified contact signals for Nima Rad at Roku Inc., including work email, phone, and LinkedIn data when available.

What schools did Nima Rad attend?

Nima Rad holds Bs, Computer Science from University Of Maryland.

What skills is Nima Rad known for?

Nima Rad is listed with skills including Big Data Analytics, Big Data, Software Design, Java, Hadoop, Cloud Computing, Apache Storm, and Apache Hive.

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