Amit Kumar Rana

AI Researcher

Seattle, Washington, United States3 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Published research at ICCV 2023 and CVPR 2023
Led innovative AI projects at Samsung R&D
Specialized in Deep Learning and Computer Vision

Stackforce AI infers this person is a Deep Learning and Computer Vision specialist with a focus on innovative AI solutions.

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Skills

Core Skills

Deep LearningComputer VisionMachine LearningOn-device Ai SolutionsData Engineering

Other Skills

Interactive Object SegmentationPyTorchTransformersMulti-GPU TrainingJavaGenerative Adversarial NetworksPose DetectionImage GroupingPySpark

About

I'm a passionate M.Sc. graduate specializing in Deep Learning and Computer Vision with 5+ years of experience in ML research and engineering. I am excited about researching and creating custom neural architectures, including object detection, segmentation, generative, and large language models. Notable achievements include multi-instance interactive object segmentation research at Computer Vision Group, RWTH Aachen University, accepted at ICCV 2023 and CVPR 2023 conferences. At Samsung R&D Institute, led the development of on-device AI solutions like GANs-based facial editing, pose detection & matching, and CNNs-based image grouping. I thrive in ownership-driven roles, taking projects from inception to prototyping while collaborating with cross-functional teams. Passionate about driving innovation in AI and ML. Let's connect and pioneer advancements in artificial intelligence and computer vision together!

Experience

3 yrs 5 mos

Total Experience

3 yrs 5 mos

Average Tenure

Current Experience

Computer vision group rwth aachen

Research Assistant

Jun 2022 – Dec 2023 · 1 yr 6 mos · Aachen, North Rhine-Westphalia, Germany · Hybrid

➔ Developed a novel and efficient architecture for multi-instance interactive object segmentation using Transformers achieving state-of-the-art results on multiple existing interactive segmentation benchmarks and the proposed new multi-instance benchmark.
➔ Gained expertise in efficient large-scale multi-GPU training of deep learning models across multiple nodes.

Interactive Object SegmentationPyTorchDeep LearningComputer Vision

Samsung r&d institute india

Machine Learning Engineer

Jun 2017 – Nov 2020 · 3 yrs 5 mos · Noida Area, India · On-site

➔ Worked on a plethora of on-device AI solutions for Samsung Android devices ranging from automatic camera image capture based on pose detection, music recommender system, voice activity detection, and recognition.
➔ Mentored and managed two teams of four interns each in the development of Generative Adversarial Networks (GANs) based facial attribute editing application and CNN-based similar image-grouping application.

JavaPyTorchMachine LearningOn-device AI Solutions