Chandresh Chunduri Deep Learning Engineer
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Unlock the Power of AI and Computer Vision with Me!
Embark on an exciting learning journey where innovation meets practical expertise. With a strong foundation in AI, computer vision, and machine learning, I tailor each lesson to provide you with clear insights, hands-on experience, and personalized guidance. As an industry professional working with cutting-edge technologies, including autonomous vehicles and real-time vision systems, I bring real-world applications to life in our sessions. Together, we’ll explore everything from foundational concepts to advanced techniques, turning complex challenges into achievable milestones. Let’s transform your curiosity into deep expertise—book your first lesson today and dive into the world of AI and computer vision with confidence!

Subjects

  • Python Beginner-Expert

  • Machine Learning Beginner-Expert

  • Image Processing Beginner-Expert

  • Data Science Beginner-Expert

  • Deep Learning Beginner-Expert

  • Computer Vision Beginner-Expert

Experience

  • Deep Learning Enginner (Jul, 2020–Present) at Flux Auto, Bangalore
    As a Deep Learning Engineer in an autonomous vehicles company, I focus on warehouse automation by integrating advanced computer vision and deep learning techniques. I work extensively with ZED cameras and Intel RealSense cameras, handling both images and point clouds to enable accurate perception systems. My role involves developing and optimizing deep learning models for deployment on NVIDIA hardware, including Jetson Xavier and Jetson Orin, ensuring real-time performance and reliability. Through my contributions, I automate various vehicles, improving their navigation and operational efficiency in warehouse environments.
  • Deep Learning intern (Oct, 2019–Apr, 2020) at Quidich Innovation Labs
    Worked on real-time player recognition system using computer vision and deep learning techniques. This includes face detection, alignment, and recognition. This system enables automated identification of players during live sports events
  • Research Intern (May, 2019–Jun, 2019) at IIT GANDHINAGAR, Gandhinagar
    Implemented 2D human pose estimation using AlphaPose, Movenet on boxing videos. Fine-tuned MotionBERT model on the human pose estimation results. Also worked on building a basic transformer architechture in PyTorch.

Education

  • Bachelor's in Electrical Engineering (Dec, 2016–May, 2020) from National Institute of Technology, Raipur–scored 86.6%

Fee details

    ₹800–2,500/day (US$9.42–29.45/day)

    Can vary based on content and place of the student

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