Ajitesh Shukla

Software Engineer

Mountain View, California, United States6 yrs 5 mos experience

Most Likely To Switch

Key Highlights

Expert in Computer Vision and Robotics.
Achieved 94% accuracy in object tracking.
Strong communication and teamwork skills.

Stackforce AI infers this person is a Robotics and Computer Vision specialist with a focus on AI-driven solutions.

Contact

ajitesh.shukla@umich.edu LinkedIn

Skills

Core Skills

Computer VisionMachine LearningData AnalysisRoboticsCommunicationTeam Coordination

Other Skills

3D SlicerANSYSAutoCADC++CUDAComputational MechanicsComputer ScienceConvolutional Neural Networks (CNN)Data ScienceData StructuresDeep LearningDeep Neural Networks (DNN)GazeboImage ProcessingMSC Adams

About

As a Computer Vision Engineer at Toyota North America, I work in the Advanced Development and Planning Team to solve various mobility challenges through AI. I have implemented variations of different state-of-the-art methods to achieve high accuracy and robustness. I recently completed my Master's degree in Mechanical Engineering from the University of Michigan, specializing in Robotics, graduating in Dec ‘23. My interest lies in the domain of Computer Vision and Machine Learning, and I have completed coursework and projects related to this domain. My previous education and employment have provided me with the rich experience of working efficiently in a collaborative, team-based environment. I have strong communication, technology transfer, and team coordination skills, and I am always eager to learn new things and challenge myself. My goal is to apply my knowledge and skills to create innovative solutions for real-world problems in the field of robotics and computer vision.

Experience

Toyota north america

Computer Vision Engineer

Aug 2024 – Present · 1 yr 7 mos · Mountain View, California, United States · On-site

Magna international

2 roles

Robotics Perception Engineer

Jan 2024 – Aug 2024 · 7 mos · Troy, Michigan, United States · On-site

Computer Vision Intern

May 2023 – Dec 2023 · 7 mos · Troy, Michigan, United States · On-site

Worked in the Advanced Robotics Team to predict the 6D pose of industrial objects using RGB-D data
Implemented variations of different SOTA methods to predict 6D poses

Deep LearningImage ProcessingMachine LearningComputer VisionVisual PerceptionComputer Science+2

University of michigan

Research Project

Sep 2023 – Dec 2023 · 3 mos · Ann Arbor, Michigan, United States · On-site

Applying contrastive learning methods to derive associations between data collected using different Visio-tactile sensors, and eliminate the need to use multiple sensors

Deep Neural Networks (DNN)Computer VisionData AnalysisVisual Perceptionrobotic manipulation

University of michigan

Research Project

Jan 2023 – Apr 2023 · 3 mos · Ann Arbor, Michigan, United States · On-site

The project aimed to track 6D pose of transparent objects in motion from video-based datasets
Obtained an mAP50 (mean Average Precision-IoU50) accuracy of 94% and mAP50-95 accuracy of 73% for 2D object tracking by adapting PoseRBPF algorithm and incorporating novel features specific to transparent objects

PyTorchObject TrackingRoboticsNeural NetworksComputer VisionPython (Programming Language)+4

Enphase energy

Mechanical Engineer

Aug 2021 – Jul 2022 · 11 mos · Bengaluru, Karnataka, India

Facilitated the Product Life Cycle development of the components used in a solar home installation. Performed the Design, Analysis, and Testing of Encharge R2 storage unit in Enphase’s solar system.

CommunicationTeam CoordinationTechnology Transfer

Nanyang technological university

Summer Internship

May 2020 – Jul 2020 · 2 mos · Singapore

Performed the dynamic simulations of SHPB to determine the change in stress and strain rates with the increase in level of geometrical imperfection.

Iit roorkee motorsports

Suspension and Vehicle Dynamics Engineer

Feb 2018 – May 2020 · 2 yrs 3 mos

Developed the suspension and vehicle dynamics system models of the car for Formula Green 2020.
Determined the optimum parameters of the car using MATLAB and optimized the suspension geometry.