cv
General Information
Full Name | Sanket Rajendra Shah |
Date of Birth | 8th December 1994 |
Languages | English, German, Hindi |
Skill Inventory
- Deployment
- TensorRT engine and plugin development
- CUDA and C++ integration on NVIDIA edge devices.
- Orin Development with Driveworks, DRIVE OS.
- Docker, CI/CD pipelines and tests.
- Development
- C++, CUDA, OpenCV, LibTorch.
- Pytorch, Python, Numpy.
- ROS
- Conceptual
- Deep Learning - Lidar,Camera and Radar based 3D Detection, Tracking, Velocity Estimation, Lane Segmentaiton.
- Computer Vision - 3D computer vision, Structure from Motion, Optical Flow, Point Cloud Processing
- Robotics - Sensor Fusion, SLAM, Motion Planning, Control Systems,
- Sensor Setup - Lidar, Camera and Radar Calibration and Synchronization
Experience
- 2022 - Present
Perception Engineer
MotorAI GmbH, Berlin, Germany
- Deep Learning based Camera-Lidar-Radar Fusion Model.
- Combines multi-sensor data for 3D Detection and Map Segmentation.
- From research to training to deployment on vehicle.
- TensorRT Plugins for Custom CUDA operations.
- Used C++, CUDA, Pytorch, TensorRT.
- Presented to BMW Motors.
- Monocular 3D Detection
- Performs real-time 3D Detection from monocular images.
- Trained on public dataset, deployed on vehicle.
- Converted torch model to TensorRT engine for deployment.
- Achieved 3x inference boost by quantization.
- Used C++, CUDA, Pytorch, TensorRT.
- Traffic Sign Detection
- 2D German Traffic Sign Detection at 100FPS.
- Trained on custom dataset and deployed on Vehicle.
- TensorRT engine generation and deployment in C++.
- Used C++, CUDA, Pytorch, TensorRT.
- Deep Learning based Camera-Lidar-Radar Fusion Model.
- 2021 - 2022
Perception Researcher
Artisense GmbH, Munich, Germany
- 3D recontruction on Monocular Images.
- Worked on inhouse research paper implementation.
- Trained and implemented the model for in-house 4Seasons Dataset.
- Helped in researching on model performance bottlenecks.
- Used Pytorch.
- 2020-2021
Data Science Werkstudent
Dinext Pi-Sec GmbH, Saarbrucken, Germany
- Worked with building PowerBI Dashboards for cybersecutiry.
- Built over 50 dashboards from scratch for more than 20 German customers.
- Gave training on Machine Learning using KQL to several German clients.
- 2019-2020
Data Science Werkstudent
Sepago GmbH, Koln, Germany
- Machine Learning powered PowerBI dashboards for security analytics.
- Helped in solving real-world on premise cyberattack through machine learning.
- 2018-2019
Data Scientist
Netmonastery Pvt. Ltd., Mumbai, India
- Developed Machine Learning Models for user behaviour analytics.
- Worked on software stack to improve data ingestion throughput.
- Used Python, Pytorch, RabbitMQ, Docker.
- 2017-2018
Data Science Intern
Carnot Pvt Ltd.
- Applying IoT powered Analytics on tractors to make farming efficient.
- Worked on wheel slipping prediction ML model for tractors.
- Used Python, Scikit Learn, Numpy.
Education
- 2019 - 2022
Masters in Computer Science
University of Bonn, Germany
- Computer Vision, Cognitive Robotics
- Deep Learning, Refinforcement Learning
- Humanoid Robotics, Techniques for Self-Driving Cars
- Masters Thesis, Self-Supervised Learning Based Multi-Object Tracking.
- 2014 - 2018
Bachlors in Computer Engineering
University of Mumbai, India
- Algorithms, Linear Algebra, Calculus
- Computer Networks, Operating Systems, Database
- Machine Learning , AI