Aadhityaa S B
(AI Developer) - Camu (Octoze Technologies Pvt. Ltd.)
Chennai, India
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As a Python developer with years of experience in AI, ML, and data science, I have a passion for developing innovative solutions that integrate emerging technologies such as blockchain, cryptocurrency, and metaverse applications for augmented reality and virtual reality.
In addition to my expertise in developing cutting-edge technology, I also have experience in the development of mechanical applications and goods in research, which has resulted in the filing of two patents in the waste management sector(waste segregation, automation with AI, Image processing, and embedded system). I have also published a few studies in the field of energy, highlighting my diverse technical background.
As a problem solver, I enjoy working with new ideas and finding creative solutions to challenging issues. My skills in mechanical design and analysis, mechatronics, Ansible robotics automation, and engineering allow me to approach problems from a unique perspective and provide effective solutions.
One of my proudest achievements was the successful application of two patents, which received funding from the Government of India (DST), highlighting my ability to not only develop innovative ideas but also bring them to fruition.
As a Python developer, I am committed to delivering high-quality solutions that exceed expectations and provide value to clients. With a passion for innovation and problem-solving, I look forward to working with others in the industry to drive the development of cutting-edge technologies that will shape the future.
I started AI development in my college 2nd year so my personal experience would be 4+ years. whereas my professional experience is 2+ years in this field.
Area of Expertise
Topics
Building and Integrating APIs in AWS Amplify with Bedrock Model Evaluation
In this in-depth session, you will learn how to create and connect a fully functional API within AWS Amplify and seamlessly integrate it with Amplify’s UI components. We will explore how to leverage Amplify's powerful features to build cloud-powered APIs and interact with real-time data.
The session will also cover the process of integrating AWS Bedrock’s AI models into your Amplify app. Using Bedrock’s foundation models, you will learn how to evaluate and process data from the API, providing AI-driven insights within your application.
This session will be a mix of theory and hands-on practice, walking you through:
Creating a REST or GraphQL API with AWS Amplify.
Connecting the API to your Amplify UI for dynamic and real-time data handling.
Using AWS Bedrock to evaluate AI models, and incorporating results directly into your app.
By the end of this session, you will have the knowledge and skills to build scalable, AI-powered APIs with Amplify, integrate them into front-end UIs, and unlock the potential of AWS Bedrock models for advanced data processing.
Key Takeaways:
Build, deploy, and secure APIs in AWS Amplify.
Connect Amplify APIs to front-end UIs using Amplify's powerful UI library.
Integrate AWS Bedrock models for seamless AI evaluations and insights.
Unlocking AI Potential: Multi-Agent System Design and Deployment with AWS Bedrock
In this session, we will explore the powerful capabilities of Multi-Agent Systems and how AWS Bedrock can be leveraged to orchestrate these systems for advanced AI workflows. We will begin with an introduction to the concepts of Multi-Agent Systems and the specific benefits they bring to AI and Cloud applications. Following this, we will take a deep dive into AWS Bedrock, examining how it enables the efficient development and deployment of Multi-Agent architectures. The session will include a live demonstration where we will build and orchestrate a Multi-Agent System using AWS Bedrock, showcasing how agents can collaborate to solve complex problems. We will conclude with a discussion of advanced concepts, best practices, and emerging trends in the field.
Real-world applications of AI and ML-Deep dive
Starting with the basic ideas on AI and ML
I will be sharing some important tips and tricks, ideas, and shortcuts to help you understand the world of AI and ML and provide you with a deeper insight into the world of image/object detection as an example and application.
Types of algorithms.
how to train a model
How to use the trained model.
The easiest way to train a simple model.
How to use a pre-trained model
How to use them on hardware like the raspberry pi.
Hands-on YOLO, Tensorflow, Image recognition simple training model.
It will be like a demo and hands-on with code so that it would be useful
Global AI Bootcamp - 2023 @Chennai Sessionize Event
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