Karan Jayakumar

Intern

Birmingham, England, United Kingdom8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Master's student specializing in AI and ML.
Hands-on experience with advanced deep learning models.
Developed tools for computer vision applications.

Stackforce AI infers this person is a skilled AI and ML practitioner with a focus on computer vision and deep learning.

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Skills

Core Skills

Image ProcessingDeep LearningComputer Vision

Other Skills

Amazon Web Services (AWS)Artificial Intelligence (AI)C (Programming Language)CUDAContinuous Integration and Continuous Delivery (CI/CD)Data ScienceGitImage SegmentationMLOpsMLflowMachine LearningOpenAI GymParallel ComputingProgrammingPyTorch

About

As a Master's student at the University of Birmingham specializing in Artificial Intelligence and Machine Learning, I am building on my strong academic foundation from a Bachelor's in Computer Science at Kumaraguru College of Technology. My educational background includes studies in data structures, algorithms, and software engineering, which complement my growing expertise in AI and ML. Previously, I contributed to projects at Samsung PRISM and DAT-Deft&Tact, where I worked on interactive segmentation models, image augmentation techniques, and tools for visualizing indoor scenes using deep learning and computer vision. My core skills include image processing, reinforcement learning, and time series forecasting, which I am continuously refining to tackle complex challenges in the AI domain.

Experience

Dat- deft&tact

Project Trainee

Apr 2023 – Oct 2023 · 6 mos · Hyderabad, Telangana, India · Remote

Worked on the development of a tool used for Visualizing Indoor Scenes using Deep learning and Computer vision.
. Gained knowledge about image segmentation model such as SAM (Segment Anything Model) and Layout estimation models.
. Learned about image processing techniques.

Deep LearningComputer VisionImage Processing

Samsung prism

Intern

Mar 2023 – Nov 2023 · 8 mos · Remote

Worked on enabling RITM for Mask Segmentation.
. Gained knowledge on working with the HRnet, MetaFormer, and ViT models.
. Learned about different evaluation metrics used to assess the performance of interactive segmentation models, as well as image augmentation techniques to improve accuracy of the model.

Image ProcessingDeep LearningComputer Vision