About Me
I am a Master’s student pursuing a specialization in Artificial Intelligence at the University of Essex. With over three years of hands-on experience, my passion lies in the realm of deep learning and autonomous agents.
I am eager to explore the potential of attention mechanisms in enhancing the performance of multimodal models in representation learning, reasoning, and zero-shot learning within uncertain environments.
Parallel to this, I have actively engaged in freelance work and collaborated with research teams, and have made contributions to the open-source community.
My ultimate objective is to study the cognitive mechanisms underlying intelligence. Specifically,
- attention mechanisms
- representation learning
with a bias toward efficient computation in the following settings: - generative models
- multimodal learning
- self-supervised learning
I aim to apply these concepts to
- machine vision
- natural language processing (NLP)
- machine translation
- natural language understanding
- question answering
- context extraction
- text generation
- machine translation
- speech processing
- video processing
- generation
- representation
- generation
Projects
2021-2022
A Python library for building transformer-based models.
Keywords -- Deep-learning, Machine-learning, Transformers, Attention mechanisms, Algorithms, python library
2021-2022
A Python toolkit for embedding knowledge graph, developing and evaluating models
Keywords -- Deep-learning, Machine-learning, Graph, Knowledge-graph-embedding, Algorithms
2019-2022
A python library for link prediction in bipartite-networks
Keywords -- link-prediction, Machine-learning, Graph, Graph-analysis
