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AtalGupta/README.md

Hi there, I'm Atal Gupta 👋

I am a ML Engineer

ML Engineer | Autonomous Systems Enthusiast

I'm a passionate ML Engineer with a deep interest in designing and building Autonomous Systems. My journey in machine learning has taken me from innovative projects like streamflow prediction with graph neural networks to advanced multi-camera tracking solutions—all driven by the vision of creating smarter, self-reliant systems.


🚀 About Me

  • Name: Atal Gupta
  • Expertise: Machine Learning, Deep Learning, Computer Vision, Graph Neural Networks, and Autonomous Systems.
  • Skills: Python, C++, SQL, Dart, Flutter, OpenCV, and more.
  • Focus: Pushing the envelope of intelligent automation and building systems that can operate independently in dynamic environments.

💡 Passion for Autonomous Systems

I believe that the future lies in systems that can perceive, learn, and act autonomously. Whether it's revolutionizing transportation, enhancing real-time surveillance, or optimizing complex industrial processes, autonomous systems have the potential to reshape our world. My goal is to integrate cutting-edge ML techniques with real-world sensor data to develop robust, reliable, and truly intelligent solutions.


🏆Experience

Google Summer of Code (GSOC) 2024 @ ML4sci

  • Project: Developed a state-of-the-art Single Image Super-Resolution model for gravitational lensing images.
  • Highlights:
    • Leveraged an Iterative Auto-Encoder with conditional diffusion techniques.
    • Outperformed traditional methods with a PSNR of 33.56 and an SSIM of 0.855, ensuring critical details were preserved.

Research Internship @ University at Buffalo

  • Project: Modeled complex rheological fluid flows in rotational rheometers.
  • Highlights:
    • Employed Physics-Informed Neural Networks (PINNs) alongside conventional ANNs to solve differential equations.
    • Delivered high-accuracy solutions, contributing valuable insights to fluid dynamics and material science.

🔭 Projects & Research

  • Streamflow Prediction with Graph Neural Networks: Harnessing GNNs to analyze hydrological data and predict daily streamflow.
  • Multi-Camera Tracking and Reidentification System: Implementing YOLO and DeepSORT for real-time surveillance and tracking.
  • Traffic Forecasting using GNNs: Developing graph-based models to transform raw sensor data into actionable insights for traffic management.
  • And many more innovative projects…

🔧 Technical Skills

  • Languages: Python, C++, SQL, Dart, GoLang
  • Frameworks & Libraries: PyTorch, TensorFlow, OpenCV, Scikit-Learn, Flutter
  • Tools: VS Code, Git, LATEX, Anaconda, among others.

📫 Get in Touch

Thank you for visiting my profile. Let's connect and explore how we can build the next generation of Autonomous Systems together!


Feel free to modify this template further to best represent your unique journey and aspirations. Happy coding!

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