Kartikey Rawat
Developer Advocate
Bengaluru, India
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Kartikey Rawat is a Senior AI Developer Advocate at Qualcomm, focused on helping developers build and deploy AI applications on edge devices. He works across on-device AI, Qualcomm AI Engine, Snapdragon platforms, LiteRT, ExecuTorch, and ONNX Runtime, with a focus on making AI inference faster and more accessible. He is also an active open-source contributor and community builder, regularly speaking about practical approaches to deploying and optimizing AI on edge hardware.
Area of Expertise
Topics
LLM Inference using MediaPipe with Gemma
how to use the LLM Inference API to run common text-to-text generation tasks like information retrieval, email drafting, and document summarization, on web.
Make a smart camera using a pre-trained TensorFlow.js Machine Learning model
Learnt benefits of using TensorFlow.js and pre-made ML models
Created a fully working web page to classify common objects in real-time using your webcam by:
1. Creating an HTML skeleton for content
2. Defining styles of the HTML content
3. Detecting and enabling a webcam stream
4. Loading a pre-trained TensorFlow.js model
5. Using the loaded model to make continuous classifications
6. Drawing a bounding box around objects in the image.
Implementation of Linear Regression using tfjs
- Introduction to Tensorflow.js
- Architecture of TFJS
- Project WorkFlow
1.Firstly we create an html and js file
2.Add cdn to html file
3.Link the .js file with html
4. Then jump into the linear regression one
[ Gemma Day Extended ] - TFUGs Abidjan & Bassam Sessionize Event
Global AI Student Conference Sessionize Event
Kartikey Rawat
Developer Advocate
Bengaluru, India
Actions
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