Engineering Leader
Context Engineering For Ai
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Rohan Sharma Email & Phone Number
Engineering Leader
at
Context Engineering for AI
1 work email found
@netflix.com
6 phones found area 631, 201, 505, 214, 408, and 866
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Engineering Leader
Location
Mountain View, California, United States
Who is Rohan Sharma? Overview
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Quick answer
Rohan Sharma is listed as Engineering Leader at Context Engineering for AI, based in Mountain View, California, United States. AeroLeads shows a work email signal at netflix.com, phone signal with area code 631, 201, 505, 214, 408, 866, and a matched LinkedIn profile for Rohan Sharma.
Rohan Sharma previously worked as AI Engineering at Context Engineering & Ai Accuracy and Senior Distinguished Engineer, Enterprise Data at Capital One. Rohan Sharma holds Masters, Computer Science from Stony Brook University.
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{first_initial}{last}@netflix.com
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AeroLeads found 1 current-domain work email signal for Rohan Sharma. Compare company email patterns before reaching out.
Profile bio
About Rohan Sharma
⦿ Tenured Data Management Leader with broad & deep experience across infrastructure, platforms, analytics, AI and product; supporting several business functions across financial services & technology Industry⦿ Architected and led engineering of new and innovative data strategies, platforms & products that helped push capabilities of the business forward and the organization to scale & grow⦿ I enjoy working at the intersection of Technology, Product & the Business, collaborating with great people, their organizational structures and unique cultures⦿ I focus on aligning people with available tools, and tools with business objectives, to detect where growth opportunities exist for the business and the organization(Not generated with AI)
Listed skills include Business Intelligence, Data Warehousing, Microsoft Sql Server, Etl, and 26 others.
Current workplace
Rohan Sharma's current company
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11 roles
Rohan Sharma work experience
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Ai Engineering
Context Engineering & Ai Accuracy
Senior Distinguished Engineer, Enterprise Data
Storage & Access Strategy, Enterprise Data Platforms
Current
Nov 2024 - Present
Platform Engineering
➢ Hybrid-Cloud Data Infrastructure: Led engineering teams to develop data platform compatibility across hybrid cloud infrastructures over public and private clouds by inserting abstraction layers for Compute & Data for application bindings➢ Data Governance: Led engineering teams that developed data policy enforcement platform to enforce data privacy and governance rules on hybrid infrastructures over multiple cloud providers➢ Data Replication: Led engineering teams that developed kafka-based horizontally scalable data replication platform across multiple cloud providers to integrate hybrid infrastructures➢ Observability: Led engineering teams developing distributed tracing platform for discovering service-to-service dependency of content supply-chain and distribution services➢ Data-Mesh Platform:Led engineering teams developing event-driven data integration platform (data-mesh) to support async integration of micro-services
Jun 2019 - Oct 2024
Data Strategy & Platform Architecture
➢ Data EfficiencyLed data infrastructure efficiency program for the organization and developed a framework for large scale offline data processing systems to be streamlined into a scalable, efficient & secure data lake platform.➢ Multi-Cloud Data InfrastructureLed the engineering program to develop data platform interfaces that abstracts infrastructure and enables product to scale across public & private clouds. This framework lets us develop, deploy & operate products and services across any cloud infrastructure compatible with the framework.➢ Content Supply Chain ModernizationLed the content supply-chain modernization program to help transition organization from monolithic server architecture to micro-services based event-driven architecture supported over an online data integration “DataMesh” platform.
Jun 2019 - Oct 2024
Identity Data Platform, Central Product Platforms
➢ Annotation Platform: Led a team of 60+ members and developed operational processes of Facebook’s annotation platform to generate training & test data for identity matching ML workflows➢ ML Model Performance: Designed and developed metrics, data-pipelines & dashboards to measure performance of identity matching ML models which is a core feature used by all of Facebook / Meta➢ Data & AI Infrastructure: Developed collaborations between Data and AI Infrastructure teams to help support use-cases that span across both infrastructures and reduce operational overhead for the team
Sep 2018 - May 2019
Playback Quality Of Experience, Data Engineering & Analytics
➢ Playback Analytics: Developed batch and streaming pipelines to ingest raw events from clients and extract playback and streaming quality metrics to support operations, analytics & A/B testing➢ Stream Processing Platform: Developed stream processing platform as a service (Jarvis) for rapid a/b experimentation and metrics calculations for iterative development of streaming algorithms➢ Online Analytics Platform: Developed custom Druid (distributed cube) modules and integrated it with Netflix’s telemetry platform (Atlas) to support rapid slice/dice analysis of client-side metrics with high cardinality at 100x lower cost with 10x better read/write query performance.
Nov 2016 - Aug 2018
Cloud Infrastructure & Developer Efficiency, Data Engineering & Analytics
➢ Cloud Efficiency Analytics: Developed data pipelines to attribute cloud costs to applications to help drive cost efficiency initiatives at Netflix➢ Cloud Performance Analytics: Developed data pipelines on client events to identify performance bottlenecks on the Netflix product as experienced by Netflix clients (users) across the world➢ Engineering Strategy: Developed data pipelines and dashboards on code repositories and commit history to provide insights on developer efficiency, technology trends i.e. Java / javascript / NodeJS, etc. to help drive engineering strategy for future investments in tools, processes & teams
Nov 2015 - Nov 2016
Gs Appstore, Technology Infrastructure
➢ Event Driven Architecture : Led development of realtime event processing platform using RabitMQ and Elasticsearch to scale GS AppStore application delivery operations by ~100x to support company’s security and software delivery functions➢ Big Data: Led infrastructure organization to adopt hadoop and distributed NoSql technologies like Elasticsearch, Spark, HBase, …
Aug 2014 - Oct 2015
Investment Banking Strategy : Mergers, Acquisitions & Capital Markets
➢ Data Platform: Led development of data platform to support client relationship management, client targeting, pitch book generation, capital market deal execution for IPOs, Debt issuance, Lending transactions, etc.➢ Market Data: Developed systems that ingested market data feeds from vendors like Reuters, CapitalIQ, Moodys, Factiva, etc. and cross-referenced them at company level to produce a daily up-to-date market summary of the clients that Investment Bankers worked with on their engagements➢ Investment Banking Strategy: Partnered with banking teams on analyzing company ownership data to develop pitching strategies for mergers, acquisitions, IPO, corporate bonds, bank loans, underwriting, poison-pill or anti-raid style transactions for clients
May 2006 - Aug 2014
2 education records
Rohan Sharma education
Masters, Computer Science
Stony Brook University
Bachelor Of Engineering (B.E.), Computer Engineering
University Of Mumbai
FAQ
Frequently asked questions about Rohan Sharma
Quick answers generated from the profile data available on this page.
What company does Rohan Sharma work for?
Rohan Sharma works for Context Engineering for AI.
What is Rohan Sharma's role at Context Engineering for AI?
Rohan Sharma is listed as Engineering Leader at Context Engineering for AI.
What is Rohan Sharma's email address?
AeroLeads has found 1 work email signal at @netflix.com for Rohan Sharma at Context Engineering for AI.
What is Rohan Sharma's phone number?
AeroLeads has found 6 phone signal(s) with area code 631, 201, 505, 214, 408, 866 for Rohan Sharma at Context Engineering for AI.
Where is Rohan Sharma based?
Rohan Sharma is based in Mountain View, California, United States while working with Context Engineering for AI.
What companies has Rohan Sharma worked for?
Rohan Sharma has worked for Context Engineering For Ai, Context Engineering & Ai Accuracy, Capital One, Apple, and Facebook.
How can I contact Rohan Sharma?
You can use AeroLeads to view verified contact signals for Rohan Sharma at Context Engineering for AI, including work email, phone, and LinkedIn data when available.
What schools did Rohan Sharma attend?
Rohan Sharma holds Masters, Computer Science from Stony Brook University.
What skills is Rohan Sharma known for?
Rohan Sharma is listed with skills including Business Intelligence, Data Warehousing, Microsoft Sql Server, Etl, Sybase, Data Mining, .Net, and Project Management.
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