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Nakul Patel
Sr. Machine Learning Engineer at Samsung Research America
Nakul Patel is a Senior Machine Learning Engineer at Samsung Research America (SRA), located in the San Francisco Bay Area. He has over five years of experience in software development, data science, and artificial intelligence. His educational background includes a Master of Engineering in Robotics from the University of Maryland, where he developed a strong foundation in robotics, computer vision, and machine learning.
Professional Experience
At Samsung Research America, Nakul has been involved in several significant projects since joining in August 2021. His work includes:
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Depth Estimation: He trained the MobileStereonet model for stereo-based depth estimation, improving model size by 40% and enhancing depth estimation quality by 25% for 3D scene reconstruction in augmented reality (AR) applications.
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Image Processing: He implemented an image undistortion pipeline using OpenGL shaders, which increased runtime efficiency by 80%, contributing to various AR/VR deliverables.
Before his current role, Nakul worked as a Data Science Engineer at SilverSpace Technologies and as a Machine Learning Engineer at Sturfee Inc., where he focused on optimizing algorithms for AR applications and developing data pipelines.
Technical Skills
Nakul is proficient in several programming languages and tools, including:
- Programming Languages: C++, Python, C, SQL, Java
- Data Analysis Tools: Numpy, Pandas, Tableau, PowerBI
- Machine Learning Frameworks: Pytorch, Keras, TensorFlow
- Robotics Frameworks: ROS, Gazebo, OpenCV
His interpersonal skills include organization, teamwork, and problem-solving, which complement his technical expertise.
Contact Information
For professional inquiries, Nakul can be reached at his email: nakulp123@gmail.com.1
Highlights
Hello everyone, I am glad to share that I have successfully completed Udacity's Self-Driving Car Engineer Nanodegree certification.
This course covers all the concepts related to robotics/deep learning for an autonomous vehicle. In this nanodegree, I have successfully implemented projects related to Computer Vision, Deep Learning, Sensor Fusion, Localization, Path-Planning and System Integration with ROS(Robot Operating System).
I would like to thank the instructors Sebastian Thrun, David Silver, Ryan Keenan and others, for the excellent teaching style and amazing course content that made learning simple and interesting.
These are the projects I completed as a part of nanodegree:
- Advanced Lane Detection (Computer Vision)
- Traffic Sign Classifier (Deep Learning)
- Behavioral Cloning (Transfer Learning)
- Extended Kalman Filter (Sensor Fusion)
- Particle Filter (Localization)
- Highway Driving (Path Planning)
- PID Contoller (Controls)
- Programming a Real Self-Driving Car (System Integration)
#selfdrivingcars #computervision #deeplearning #neuralnetworks #sensorfusion #localization #behaviorprediction #pathplanning #trajectorygeneration #controls #ROS #cpp #python
