
SOM KAPOOR
@somkapoor
AI engineer at University of Surrey who built a Swin Transformer pipeline classifying 18 badminton shot types.
What I'm looking for
At the University of Surrey, I built an end-to-end deep-learning pipeline for my dissertation, AI-Powered Badminton Shot Classification. It classifies 18 fine-grained shot types from match video and addresses severe class imbalance with class-weighted loss and weighted random sampling.
I implemented a Swin Transformer in PyTorch Lightning and engineered the data pipeline, from OpenCV frame extraction and augmentation to stratified data splits. The model achieved 49.7% Top-1 accuracy, compared with a 5.6% random baseline.
At AdLift Marketing, I assisted the frontend team with updates and fixes to client websites using HTML5, CSS3, and JavaScript. Earlier, at IGT Solutions Private Limited, I supported QA regression testing and co-authored technical requirements documentation.
Experience
Work history, roles, and key accomplishments
Web Development Intern
AdLift Marketing
Aug 2023 - Mar 2024 (7 months)
Assisted the frontend team with small updates and fixes to client websites in HTML5, CSS3, and JavaScript. Learned production web-development practices, including version control and client delivery workflows, while working under senior developers on assigned tasks.
Industrial Trainee
IGT Solutions Private Limited
May 2022 - Jul 2022 (2 months)
Supported QA for internal modules: ran regression test cycles, logged defects, and reproduced issues for the development team. Co-authored technical requirement documentation with engineers in a corporate IT environment.
Education
Degrees, certifications, and relevant coursework
University of Surrey
Postgraduate Diploma, Artificial Intelligence
2024 - 2025
Postgraduate Diploma in Artificial Intelligence with coursework in deep learning, computer vision, natural language processing, reinforcement learning, and statistical methods.
Amity University
Bachelor of Computer Applications, Information Technology
2020 - 2023
Bachelor of Computer Applications with foundations in data structures, algorithms, DBMS, operating systems, and software engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
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