Skip to content
View Ashutosh0624's full-sized avatar

Block or report Ashutosh0624

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Ashutosh0624/README.md

Hi, I’m Ashutosh

About Me

πŸ‘‹ Welcome to my profile! I'm passionate about Embedded Machine Learning and Computer Vision.

πŸ‘€ Interests

  • Developing innovative solutions at the intersection of machine learning and embedded systems.
  • Building real-time computer vision applications for edge devices like Raspberry Pi and Jetson Nano.
  • Exploring object detection, image classification, and anomaly detection in constrained environments.

🌱 Currently Learning πŸš€

  • Advanced Techniques in TensorFlow Lite and ONNX
    Optimizing ML models for better performance and efficiency.

  • Efficient Deployment Strategies for Jetson Nano and Raspberry Pi
    Exploring best practices for deploying AI solutions on edge devices.

  • Integrating Machine Learning Workflows into Embedded Systems
    Leveraging frameworks like Caffe and TensorFlow for real-world applications.

  • RUST Programming
    Mastering RUST and developing robust applications on edge devices.

Feel free to tweak or let me know if you'd like further customization!

πŸ’žοΈ Looking to Collaborate On

  • Projects involving embedded systems and AI for edge devices.
  • Computer vision applications such as surveillance systems, object tracking, and smart IoT devices.

πŸ“« How to Reach Me

  • Feel free to connect via LinkedIn email me at krashu130gmail.com.

πŸ˜„ Pronouns

He/Him

⚑ Fun Fact

I enjoy experimenting with real-time object detection systems and deploying models in low-resource environments to push the boundaries of what embedded devices can achieve!

Pinned Loading

  1. DeepHistFaces DeepHistFaces Public

    The project involves face recognition using hybrid methods (LBPH and CNN).

    Python

  2. ImageDifferntiator ImageDifferntiator Public

    Python

  3. AWS_Lambda AWS_Lambda Public

    Python

  4. RUST_practice RUST_practice Public

    Rust

  5. Ashutosh0624 Ashutosh0624 Public

    Config files for my GitHub profile.