Dhiraj Chaudhari
Senior Evaluator @Smart India Hackathon | Founder @DC InfoTech Pvt Ltd | 3x GCP Certified
Mumbai, India
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I am Dhiraj Chaudhari, an experienced Back-end Developer And Cloud Architect with over 4 years of expertise in Web Development, Cybersecurity, and Google Cloud. I’m the founder of DC InfoTech and currently serve as a Senior Evaluator at the Smart India Hackathon. I hold multiple Google Cloud certifications, including Professional Cloud Architect and Professional DevOps Engineer, as well as Ethical Hacking and Cybersecurity credentials. Passionate about cutting-edge technology, innovation, and delivering secure cloud solutions, I thrive on tackling new challenges.
Area of Expertise
Topics
Revolutionizing Job Applications with GenAI: Introducing Gemini Career
I’ll be presenting Gemini Career, a career development tool I developed using the Gemini API. Gemini Career provides users with tools to analyze resumes, generate personalized cover letters, identify skills gaps, and prepare for interviews—empowering candidates to excel in a competitive job market. This session will include a live demo showcasing how Gemini Career leverages the Gemini API and TruLens feedback functions to ensure accuracy and continuously improve. Join this lightning talk to see how GenAI is transforming career development
Draw a Website:Transform your imagination into a website using Gemini models!
In the world of web development, the process of transforming a design concept into a functional website can be both time-consuming and complex. However, with the advent of generative AI models like Gemini, this process is becoming increasingly streamlined and accessible. We will build a solution that specializes in converting hand-drawn wireframes into website code. This powerful tool empowers designers and developers alike to bring their website visions to life with unprecedented ease and efficiency.
In this lab, we will build a web application that allows users to generate website code (html, css, and javascript) from wireframes and prompts that the user enters using Vertex AI's Generative AI Models (Gemini 1.5 Flash, Gemini 1.5 Pro, etc.). The application will be built using Flask, a popular Python web framework, and will use the Vertex AI client library to interact with the Generative Models service.
Data to Generative AI with Spanner and Vertex AI Imagen API
In this codelab, build an AI-powered pose generator using Java, Spring Boot, Cloud Spanner database and Vertex AI Imagen API. The user will input a prompt, and the application will generate a pose based on that prompt. We will also use data from the Spanner database exposed as a REST API. It's a fun and educational way to demonstrate the capabilities of Generative AI with Spring Boot on Google Cloud.
The list of services used are:
Cloud Spanner
Vertex AI Imagen API
Cloud Run
Crafting Resume-Ready Projects: Leveraging Google Cloud for Success
In today’s competitive tech landscape, building the right projects can make a world of difference for your resume and career. This session will guide attendees on how to create impactful, resume-ready projects using Google Cloud. We’ll cover essential strategies for identifying high-impact project ideas, outline common pitfalls to avoid, and explore how to leverage GCP to build scalable and meaningful solutions. Attendees will learn how to structure their projects for maximum relevance, showcase real-world problem-solving skills, and make their work stand out to recruiters and hiring managers. By the end, you’ll be equipped to build projects that demonstrate your expertise and enhance your professional profile.
Building Intelligent Quiz Generators with GenAI and Cloud Run
In this session, we'll dive into how you can harness the power of Generative AI and Google Cloud Run to build an intelligent, scalable quiz generation service. Using a simple prompt and Google's Large Language Model (LLM), we'll create a dynamic trivia quiz generator that can be integrated into any app.
You'll learn how to:
Craft effective prompts to generate engaging trivia quizzes.
Build a Python web server that transforms prompts into a functional quiz API.
Deploy your quiz generator to Google Cloud Run, making it accessible and scalable.
Integrate the service into a real-world app, enhancing user interactivity.
Whether you're a beginner or an experienced developer, this session will provide hands-on insights into leveraging GenAI for practical applications. By the end of this talk, you'll be equipped to create your own cloud-deployed AI-powered projects!
Developing an AI-Powered FlutterFlow App with Vertex AI PaLM Integration
In this hands-on workshop, we’ll dive into the powerful combination of Google Cloud's Vertex AI PaLM model with FlutterFlow to build an AI-powered mobile application. The session will guide participants through creating a backend REST API with Google Cloud Functions, integrating the PaLM model, and connecting it to FlutterFlow for a seamless user experience. By the end of this workshop, attendees will understand how to leverage Google Cloud's Vertex AI services for innovative AI-driven applications and be equipped to build similar functionality into their own projects.
Key Takeaways:
Learn how to deploy and manage Vertex AI’s PaLM model with Google Cloud Functions.
Understand the setup and integration process of Google Cloud with FlutterFlow for API-driven workflows.
Get hands-on experience configuring REST API calls in FlutterFlow to interact with Google Cloud Functions.
Discover practical strategies for integrating AI models into mobile applications for responsive and dynamic user interactions.
Leave with a sample AI-powered app and the foundational skills to incorporate AI solutions in FlutterFlow projects.
Optimizing File-Based CDC Workflows with BigQuery Transfer Service
This talk explores a simple, low-maintenance solution using BigQuery Transfer Service to efficiently transfer data and unlock native tables.
Ideal for: Developers & data engineers working with legacy data or multi-cloud environments.
Key Takeaways:
Understand the challenges of integrating file-based CDC with BigQuery.
Discover why federated queries might not be the optimal approach.
Learn how BigQuery Transfer Service simplifies data ingestion and streamlines workflows.
Gain insights into best practices for optimizing file-based CDC in BigQuery.
Explore a practical code example demonstrating the solution.
Live Demo & Code Example (GitHub):
https://github.com/dhirajchaudhari20/parquet_to_bigquery
Additional Information:
I will be providing a link to a Google Slides deck summarizing the key points for easy reference.
The code used in the demo will be available on a public GitHub repository for further exploration.
Introduction to BigQuery Get To Know BigQuery and its Eco System
Abstract
Google BigQuery is a fully managed, serverless data warehouse that empowers organizations to analyze massive datasets with unprecedented speed and scale. In this session, we will delve into the core concepts of BigQuery, exploring its unique architecture, powerful features, and real-world applications. Attendees will gain a comprehensive understanding of how to leverage BigQuery to extract valuable insights from their data and drive data-driven decision-making.
Key Takeaways:
Understand the fundamentals of BigQuery: Learn about its columnar storage, serverless architecture, and separation of storage and compute.
Master real-time analytics: Discover how BigQuery can handle large-scale data processing and analysis in real time.
Explore advanced features: Discover the power of federated tables, security measures, time travel, materialized views, and BigQuery ML.
Learn from real-world use cases: Gain insights into how organizations are using BigQuery to solve complex data challenges across various industries.
Session Outline:
Contents
1. Columnar structure
2. Separation of storage and compute
3. Real-time analytics
4. Federated tables
5. Column & Row level security
6. Timetravel
7. BI Engine
8. BigQuery ML
Use cases
O&a - Address questions and provide further clarification on the topics covered
Target Audience:
Data analysts, data scientists, data engineers, database administrators, and anyone interested in leveraging data for insights and decision-making.
By attending this session, attendees will gain a solid understanding of BigQuery and its capabilities, enabling them to effectively leverage this powerful tool for their data analysis needs.
How to build a sustainable data ecosystem on Google Cloud
This session will provide a comprehensive overview of how to create a robust and scalable data ecosystem on Google Cloud Platform (GCP). We will explore the key components, best practices, and tools necessary to effectively manage, analyze, and leverage data for business insights and innovation.
Key Topics:
Understanding the Data Landscape: Analyzing the challenges and opportunities in today's data-driven world.
Building a Data Foundation: Discussing the importance of a robust data foundation, including data governance, data quality, and data security.
Leveraging Google Cloud Tools: Exploring the powerful suite of Google Cloud tools designed to streamline data management, such as BigQuery, Data Catalog, and Data Fusion.
Creating a Data-Driven Culture: Examining strategies for fostering a data-driven culture within organizations, empowering employees to leverage data insights.
Case Studies and Best Practices: Sharing real-world examples of successful data ecosystem implementations on Google Cloud, highlighting best practices and lessons learned.
By attending this session, you will gain valuable insights into:
The key components of a sustainable data ecosystem.
Best practices for managing data on Google Cloud.
Strategies for overcoming common data challenges.
How to leverage data to drive business value.
Supercharge security with AI
Generative AI for Enhanced Security will equip attendees with a deep understanding of how generative AI can revolutionize their organization's security posture. By exploring its applications in threat detection, incident response, and talent acquisition, attendees will learn how to: detect emerging threats more effectively, automate incident response processes, and train and upskill their security teams. Additionally, the session will address ethical considerations and discuss best practices for implementing generative AI in a secure and responsible manner.
Mastering Cloud Optimization: Strategies for Cost Efficiency, Performance, and Security with GCP
In my session, “Mastering Cloud Optimization: Strategies for Cost Efficiency, Performance, and Security with Google Cloud,” I will delve into the key strategies for optimizing cloud infrastructure using Google Cloud's suite of tools and services. Attendees will gain practical insights into managing and reducing cloud costs with tools like Cost Explorer and Budgets, enhancing application performance through services such as Compute Engine and Kubernetes Engine, and implementing robust security practices with features like IAM and Cloud Security Command Center. Through real-world case studies and actionable best practices, participants will learn how to drive efficiency, improve performance, and strengthen security in their cloud environments. This session is designed to provide valuable takeaways for IT professionals, cloud engineers, and business leaders seeking to maximize their cloud investments.
Building your first Flutter App
This workshop will provide you with a solid foundation in Flutter development, covering essential concepts, tools, and best practices. Key topics include: introduction to Flutter, setting up the development environment, creating a Flutter project, widgets and layouts, state management, navigation, platform-specific features, hot reload and hot restart, and testing and debugging. By the end of this workshop, you will gain a strong understanding of Flutter's core principles, develop practical skills in building cross-platform mobile apps, learn how to create visually appealing and responsive UIs, master state management techniques, understand navigation and routing in Flutter applications, explore platform-specific features, improve development efficiency with hot reload and hot restart, and learn best practices for testing and debugging Flutter apps. This workshop is suitable for mobile developers interested in learning Flutter, beginners to intermediate developers, designers interested in creating mobile app interfaces, and students and educators seeking to learn Flutter.
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