Mohana Bhattacharya
Microsoft, Senior software engineer
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I am currently working at Microsoft ISE as a senior software engineer. Having previously worked at companies like Walmart, Target, Wayfair etc. I love working on managed-cloud distributed applications. Having worked on backend, frontend and now exploring machine learnings and dev ops, trying new technologies & tools is my favourite pastime.
My linked profile: https://www.linkedin.com/in/mohana-bhattacharya-1605/
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Integrate Azure AD in Flutter Development
Embedded web view for Azure AD B2C for providing in-app experience Redirects to the route specified in redirectRoute after successful sign in Successfully secures the id token or access token in the app using flutter secure storage Navigates to screen in app after successful sign in
Developing AI Assistants With Azure Open AI Studio & Prompt Flow
In today's digital age, AI-powered virtual assistants are transforming the way businesses engage with their customers and users. Azure Open AI & Prompt Flow, a cutting-edge offering from Microsoft Azure, empowers developers and data scientists to effortlessly build and deploy AI-driven conversational agents. Whether you're looking to enhance customer support, automate tasks, or create engaging chatbots, this session will equip you with the knowledge and skills to develop AI assistants that excel in various domains.
Introduction to SCD type 2 & Advanced Implementations
In data warehousing scenarios, it's common to create a consolidated presentation layer table from multiple source tables. When dealing with slowly changing dimensions (SCD), especially SCD Type 2, it becomes essential to maintain historical changes accurately.
This session introduces the concept of driving and referential tables and then proposes a solution to handle updates for such entities. It also explores the exceptional cases where updates occur in both driving and referential tables for a certain natural key.
Exploring LLMOps & MLOps in Azure ML & Databricks
Introduction to LLMOps – What, Why, How ?
LLMOps Reference Architecture
General MLOps Reference Architecture: Azure ML, Databricks, CI/CD with Azure Devops
Hybrid MLOps Architecture: Azure ML + Databricks
ML Ops Architecture: Other Clouds + Azure ML
Monitoring Components of ML Ops (Azure ML)
Introduction to MLOps V2 Acclerator: Detailed Walkthrough (Demo)
Introduction to Azure ML: Explainability, Interpretability, Fairness & Responsible AI
Data Drift Introduction
Introduction to MLOps in Azure Databricks: Demo & Walkthrough
Q&A
Developing AI Assistants With Azure Open AI Studio & Prompt Flow
In today's digital age, AI-powered virtual assistants are transforming the way businesses engage with their customers and users. Azure Open AI & Prompt Flow, a cutting-edge offering from Microsoft Azure, empowers developers and data scientists to effortlessly build and deploy AI-driven conversational agents. Whether you're looking to enhance customer support, automate tasks, or create engaging chatbots, this session will equip you with the knowledge and skills to develop AI assistants that excel in various domains.
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