Grad Student ML/DS | PyTorch | Computer Vision and Deep Learning | Research: Long Egocentric Video Understanding and Query Focused Video Summarization.
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Query-Focused-Long-Video-Summarization
October 17, 2024 – April 29, 2025
A PyTorch implementation for "Your Interest, Your Summaries: Query-Focused Long Video Summarization" [ICARCV, 2024]
View ProjectCHAN-QFVS-PyTorch-Implementation
February 15, 2024 – July 21, 2025
PyTorch implementation for Convolutional Hierarchical Attention Network for Query-Focused Video Summarization paper, accepted by AAAI 2020 conference.
View ProjectPyTorch-Lightning-DL
January 14, 2024 – February 9, 2024
PyTorch-Lightning-DL — GitHub repository
View ProjectMicrograd-Autograd-Engine-implementation
January 6, 2024 – Present
Micrograd Vectorized. Wrapper around NumPy similar to PyTorch. This supports vectorization and broadcasting in micrograd.
View Projectdeep-learning-foundation
October 19, 2023 – January 8, 2024
deep-learning-foundation — GitHub repository
View Projectflutter-snapchat-ui
March 1, 2020 – March 1, 2020
flutter-snapchat-ui — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in deep learning and computer vision, which aligns well with a 'Computer vision and application' role. The diversity of projects, including web development and mobile UI, indicates a broad technical curiosity, but the core focus remains within AI/ML. The candidate primarily engages in personal projects, which suggests self-motivation and initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.