Bhavya Goyal

AI Researcher

Seattle, Washington, United States4 yrs 2 mos experience

Key Highlights

Expert in designing perception models for robotics.
Proven track record in state-of-the-art image recognition.
Strong foundation in computer vision and machine learning.

Stackforce AI infers this person is a Computer Vision and Robotics expert in the Consumer Electronics and E-commerce industries.

Contact

Skills

Core Skills

Computer VisionMachine LearningRoboticsImage Retrieval

Other Skills

Deep LearningPython (Programming Language)LiDAR3D Object RecognitionImage RecognitionNeural NetworksAttention MechanismRedisNumPyPyTorchTensorFlowCaffeC++JavaJavaScript

About

I am an Applied Scientist at Amazon Robotics. My research interests are broadly in the areas of Computer Vision, Robotics and 3D Sensing. I received my PhD from UW-Madison in CS. I was part of the Wision Lab where I was advised by Prof. Mohit Gupta. I worked on perception models under adverse conditions like low light, motion, and LiDAR noise.

Experience

4 yrs 2 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 1 mo

Current Experience

Amazon

Applied Scientist

Apr 2025 – Present · 1 yr 1 mo · Seattle, Washington, United States

Designing perception models for Vulcan Stow robot to streamline Amazon Fulfillment centers.

Computer VisionMachine LearningDeep LearningPython (Programming Language)

Cruise

Research Intern, Perception

May 2022 – Aug 2022 · 3 mos

Multi-modal foundation models for camera images and LiDAR point clouds.
Pretraining 3D object recognition models.

Computer VisionLiDAR3D Object RecognitionRobotics

Samsung electronics

2 roles

Research Engineer

Jan 2018 – Aug 2019 · 1 yr 7 mos · Seoul, South Korea

Designed image recognition algorithms for Samsung smart refrigerators that are agnostic to fog, background clutter and partial occlusion.
Winner with SOTA results for half million product image recognition at ACMMM 2018.

Image RecognitionComputer VisionMachine Learning

Software Engineer

Sep 2016 – Dec 2017 · 1 yr 3 mos · Seoul, South Korea

Designed and deployed large scale retrieval models for product search on Samsung Bixby Vision. Implemented attention mechanism in neural networks to ignore background noise in query images, achieves SOTA results on all major image retrieval benchmarks, published in ECCV 2018.

Image RetrievalNeural NetworksAttention MechanismMachine Learning