Ananya Ghosh Chowdhury

Ananya Ghosh Chowdhury

Principal Cloud Solution Architect @ Microsoft

LinkedIn creator · United States · 27.2K followers
Open to collaborations

Companies pay Ananya to write a post about their product on LinkedIn.

This page is where they book it. Below: Ananya's audience, recent posts and price. Naano, the platform behind this page, handles the brief, your approval of the post and the payment.

€300per post, fixed price

You approve the post before it goes live

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About Ananya Ghosh Chowdhury

Principal Data and AI Architect @ Microsoft | Enterprise AI Strategy | Responsible AI Advocate | Author | Speaker | Startup Advisor | Helping 1M+ learners build AI skills

An industry thought leader helping organizations revolutionize their strategies leveraging AI and advanced analytics. I help enterprise teams turn AI ambition into shipped systems. As Principal Data & AI Architect at Microsoft, I design and implement cloud and AI architecture for major and strategic accounts — the kind of work that shows up as production systems, not slide decks. My focus: enterprise AI strategy, responsible AI, and data architecture that actually holds up at scale. I write The Signal Layer, a biweekly newsletter for technical leaders building real AI systems, and I've helped 1M+ learners build AI skills through writing, speaking, and mentoring. I'm most useful in conversations about: enterprise AI adoption, cloud/AI architecture decisions, and what actually breaks when AI systems meet production. TECHNICAL SKILLSET- Cloud Architecture, IoT Architecture, SOA, Business Architecture, Application & Data Architecture Microsoft Azure, IoT Hub, Service Fabric, Kubernetes, App Services, Service Bus, Event Hubs, Stream Analytics, Cosmos DB, SQL Database, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Store, Redis Cache, API Management, Azure VNET, Traffic Manager, Load Balancer, Azure Site Recovery, Azure Migrate Amazon Web Services, CloudFormation, AWS IoT Core, Kinesis Data Streams, Kinesis Firehose, Kinesis Data Analytics, Lamda, DynamoDB, Amazon SES, SQS, S3, EC2 SSO, AD, Azure AD, Azure AD B2C, ADFS, Identity & Access Management, OpenSSL Languages: C#, Python (Panda, Numpy) , R, PySpark, ASP.NET, Entity framework, Angular JS/7, MVC, Web API, JavaScript, PowerShell, Linux Databases/Big Data Tools: SQL, Hadoop, MapReduce, Hive, Pig, Spark, AWS Glue, Pentaho, NoSQL,CosmosDB (Document, Key-Value, Column, Graph) Data Analysis / Visualization: Tableau, SAS Base, SAS Enterprise Miner, SAS JMP, RStudio, Power BI, DAX, Power Query, Excel (vLookUps, Pivot Tables) Repositories / SDLC Tools: Azure DevOps,Team Foundation Server, VSTS, Git, Bit Bucket, JIRA, Trello, Confluence, IIS, Postman, Fiddler, Scrum, Agile Statistical and Analytical Skills: Data Ingestion, Data Cleaning, Data Mining, Data Warehousing, Machine Learning Algorithms, Time Series Forecasting, Sentiment Analysis, Segmentation & Clustering, Text Analytics, A/B testing, Data Governance, Data Quality, RDBMS Project Management Course Work: Basics of Project Management, Project Risk & Cost Management, Kanban, Scrum, Waterfall Methodologies

AISaaSSoftware

My LinkedIn audience

Followers
27,197
Est. median reach
831
Reactions per post
10
Median of recent posts

My most engaged audience

41% Manager / Lead · 55% Engineering / Data

From 144 people who reacted to or commented on my posts

Public LinkedIn data · Sep 14, 2026

  • Astra is here. And Microsoft Copilot is moving from answering questions to completing real work. GPT-6 Astra changes the experience in seven important ways: → Delegation over simple chat Users can describe an outcome while Copilot plans the steps, coordinates work across applications, and keeps them in control. → Long-running workflows Astra maintains context across multiple steps, adapts when requirements change, and continues until the assignment is complete. → Work IQ grounding It understands emails, meetings, people, files, roles, and live organizational signals to deliver responses grounded in business context. → Advanced computer use Astra can read information from screens, navigate approved software interfaces, and complete repetitive application tasks. → Tool-powered execution Connected tools allow Copilot to send updates, create and edit files, schedule meetings, and update approved business systems. → Polished business artifacts Instead of stopping at rough drafts, it can build executive presentations, analyze spreadsheets, follow company templates, and produce review-ready documents. → Enterprise controls Entra identity, role-based access, monitoring, auditability, and human approval checkpoints help organizations deploy Astra securely. The biggest shift is simple: Copilot is evolving from a tool employees prompt into a system they can delegate meaningful work to. This is where enterprise AI becomes less about responses and more about reliable execution. Which of these capabilities will create the greatest impact inside your organization?

    100 reactions · 55 commentsView
  • Data Engineering Field Notes — Data Governance & Operating Model Fabric Domains organize data. They don't secure it. A "Finance" domain does not mean "Finance-only access." Domains provide ownership, discoverability, and governance. Security comes from workspace roles, permissions, and RLS. Swipe through the full breakdown — the principle, what actually matters in practice, and the copy-ready code. Domains organize data. Permissions secure it. Have you seen domains mistaken for security? Copy-ready DAX snippet in the comments 👇 #DataEngineering #DataAnalytics #DeltaLake #Lakehouse #MicrosoftFabric

    12 reactions · 2 commentsView
  • Interview guide: 20 LangChain + LangGraph concepts to learn for an AI Engineer or Architect role. This visual guide connects LangChain Architecture, Runnables and LCEL, Prompts and Messages, Chat Models, Structured Output, and 15 more ideas into one practical mental model. Each concept includes a concise definition and a simple flow diagram. Save this for your next interview. Which concept would you want to explain on a whiteboard? #AgenticAI #AIArchitecture #EnterpriseAI

    10 reactions · 0 commentsView

Work with Ananya Ghosh Chowdhury

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Sponsored LinkedIn post

A dedicated post to introduce your brand to my audience.

€300
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How does this price compare? B2B creator rates 2026

Who engages with my posts

Based on 144 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.

Manager / Lead41%
Senior IC22%
VP / Head / Director20%
Founder / C-level16%

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Booking Ananya Ghosh Chowdhury: frequently asked questions

Ananya Ghosh Chowdhury is a B2B LinkedIn creator based in the United States with 27,197 followers, posting about AI, SaaS, and Software. On Naano, one sponsored LinkedIn post by Ananya Ghosh Chowdhury costs €300, a fixed price per post.

How much does Ananya Ghosh Chowdhury charge for a sponsored LinkedIn post?
One sponsored LinkedIn post with Ananya Ghosh Chowdhury costs €300 on Naano. It is a fixed price per post, the amount your brand pays. Compare with the B2B creator rates 2026 report
How do I book Ananya Ghosh Chowdhury?
Create a brand account on Naano, choose an offer on this page and send your brief. The price is held when Ananya Ghosh Chowdhury accepts and paid when the post URL is submitted. You can turn on draft approval to review the post before it goes live.
Can Naano run the campaign for me?
Yes. With Managed Campaigns, the Naano team sets the strategy, casts the creators, writes the briefs, reviews the drafts, pays the creators and reports results per creator and campaign. It is a three-month programme: a management fee from €3,000 per month, plus a creator budget from €6,000 per month. See Managed Campaigns

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The Naano team casts the creators, writes the briefs, reviews every draft with you and reports results per creator. You approve the shortlist and every draft.

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€300per postBook Ananya