Suryakant Sharma Deep Learning Engineer, Computer vision, Python
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I have over 3 years of experience in Deep Learning, with a strong foundation in its mathematical principles. My expertise allows me to simplify complex concepts, presenting them in an engaging and accessible manner tailored to different learning styles. I emphasize practical understanding by connecting theory to real-world applications and guiding learners through hands-on projects.

Through my teaching approach, learners can expect to build a strong conceptual foundation, gain confidence in tackling advanced topics, and develop the practical skills needed to solve real-world problems. Whether you're looking to start your journey in Deep Learning or deepen your expertise, I can help you achieve tangible results and a deeper understanding of this exciting field.

Subjects

  • Deep Learning Beginner-Expert

  • Computer Vision Beginner-Expert

  • Machine learning Python Beginner-Expert

  • Python 3 Beginner-Expert

  • MATLAB (Image Processing) Beginner-Intermediate

Experience

  • Deep Learning Engineer (Jan, 2023–Present) at Flux Auto, Bangalore
    Developed and deployed a 3D-Lidar-based Early Collision Warning
    system for various environments using Python, Clustering,
    ROS-Neotic, and Mathematics
    • Developed a keypoint detection Deep Learning Model with
    ResNet-50 backbone, utilizing 2D Lidar data converted into BEV
    images at 0.5cm per pixel resolution, employing Python, Pytorch, and
    ROS-neotic.
    • Created a 2D Lidar-based pallet detection and localization system for
    a specific area.
    • Developed Object Detection (Pallet) and localization algorithm using
    Clustering on 3D Lidar merged data from the past 10 seconds,
    employing Python and ROS-neotic.
    • Deployed Yolov5 for pallet detection on edge device Nvidia Xavier
    using TensorRT. Use PointCloud from the ZED2i camera to define
    the safety regions.
    • Enhance the prediction of feature based on Keypoint detection
    model via improvement in post-processing functionality.
    • Developed a proof-of-concept model training pipeline for 3D
    Lidar-based object detection and localization, targeting obstacles
    such as Person, Loaded Pallet, and BOPT.
    • Handling a team of 5 team members as a Team Coordinator.
    • Handling a team of 10-15 interns for data annotation.
  • Project Associate (Sep, 2021–Dec, 2022) at IIT Mandi
    Contributed to a Landslide Monitoring and Early Warning System,
    leveraging expertise in Computer Vision(U-Net), Raspberry Pi,
    Embedded C, IoT, AVR microcontroller, and Machine Learning.
    • Designed and developed an Extensometer and IoT-based Landslide
    Monitoring System, incorporating Image Processing. Utilized
    Embedded C, Python, and Data Structures for the project.

Education

  • Master of Engineering Electronic and Communication (Aug, 2019–Aug, 2021) from National Institute of Technical Teachers' Training and Research
  • B.Tech Electronics And Communication Engineering (Aug, 2014–Aug, 2018) from Himachal pradesh technical university hamirpur

Fee details

    ₹500–1,500/hour (US$5.26–15.79/hour)

    Based on Distance, Urgent requirements

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