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Aditya Gupta
Computer Vision | Robotics
About
Aditya Gupta is a skilled Computer Vision Engineer with over 5 years of experience in the industry. He is proficient in deep learning techniques like object detection, segmentation, and video segmentation, as well as classical 2D/3D tracking, point-cloud processing, and more. Aditya holds a Master's degree in Robotics from Worcester Polytechnic Institute, which has helped him develop strong engineering skills. Aditya has a wide range of technical skills that include C++, Python, TensorFlow, Pytorch, Caffe, Deep learning, ML, Linux, ROS, Gazebo, and Matlab. He is currently seeking full-time roles in Computer Vision and is available for immediate hire. Currently, Aditya is working as a Research Scientist (Computer Vision) at Neurala. In his current role, he has developed deep learning models for tasks such as image segmentation, detection, and video segmentation. He has also added cross-validation and data augmentation features to the pipeline for image classification. Aditya has worked on Optical Flow techniques to calculate Time of Collision for collision avoidance systems and has also worked on benchmarking and parameter tuning for internal research and development projects on continual learning based techniques. Aditya has previously worked as a Software Engineering Intern at Cognex Corporation and as a Robotics Research Intern at Nodein. At Cognex Corporation, he evaluated the timing and performance difference of a 3-layer Neural Network on SVHN and MNIST datasets with and without Tensor-RT in Caffe. At Nodein, Aditya developed an interface for Lidar Lite v2 for Tegra TX2 over I2C in C++ and was responsible for checking hardware connections on drones used for testing purposes. Aditya has a strong educational background, having completed his Master's degree in Robotics and Automation Engineering from Worcester Polytechnic Institute and a Bachelor's degree in Electrical, Electronics, and Communications Engineering from LNMIIT. He also attended Rukmani Birla Modern High School. Aditya's tech stack includes Research Scientist, Computer Vision, Python, Deep Learning, Object detection, Object Detection, Image Segmentation, C, ML, Tensorflow, Pytorch, Neural Networks, and test. With his extensive experience and technical skills, Aditya is a valuable addition to any team looking for a skilled Computer Vision Engineer.
Education Overview
• worcester polytechnic institute
• lmniit the lnm institute of information technology
• rukmani birla modern high school
Companies Overview
• mercedes benz
• neurala
• cognex corporation
• nodein
• worcester polytechnic institute
• drona aviation pvt. ltd.
• international institute of information technology
Experience Overview
5.1 Years
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Experience
Skills
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Algorithms
anomoly detection
Arduino
Artificial Intelligence
Artificial Neural Networks
C
C++
Caffe
Communication
Computer Vision
Deep Learning
Digital Image Processing
Education
Electronics
Gazebos
GitHub
HTML
I2C
Image Segmentation
Information Technology
Java
LaTeX
Lifelong Learning
Linux
linux
Machine Learning
Machine Learning (ML)
Matlab
matlab
Matplotlib
Microsoft Excel
Microsoft Office
Microsoft Word
Mobile
Mobile Robotics
motion planning
Motion Planning
Neural Networks
NumPy
Object Detection
Object detection
OpenCV
PCL
Pcl
PHP
Product Management
product manager
Programming
Python
Python (Programming Language)
PyTorch
Pytorch
R
Raspberry Pi
Research
Research and Development
Research and Development (R&D)
Research and Development R&d
Research Scientist
Robot Operating System (ROS)
Robotics
ROS
Scikit
Scikit-Learn
sensors
Signal Processing
SLAM
Software Development
TensorFlow
Tensorflow
TensorRT
test
testing
Vision
Windows
Contact Details
Email (Verified)
adiXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX13Education
worcester polytechnic institute
Master’s Degree
2016 - 2018
lmniit the lnm institute of information technology
Bachelor's degree
2012 - 2016
rukmani birla modern high school
2004 - 2012
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