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Broad range of experience with full stack development including edge computing, computer vision, geo spatial analysis. Contributed significantly to a large-scale project by designing and developing core REST APIs and associated user interfaces for effective data interaction and visualisation. Responsible for adding self supervised learning into an ML library using autoencoders. Integrated experimentation capability using Optuna to compare results between models. Experience with dimensionality reduction techniques and clustering algorithms such as UMAP, DBSCAN and HDBSCAN. Applied for anomaly detection and analysing embeddings from SSL models. Initiated 'Lunch and Learns' to create a space for employees to share and discuss various topics in order to foster inspiration and curiosity across the company.
Designed and developed full-stack solutions using Python, Angular, and Elasticsearch. Contributed to epic-level components, enhancing design principles, integration, and user experience. Collaborated in Agile Scrum teams and across multi-company projects, maintaining high communication standards. Delivered robust, tested code through unit testing and code reviews. Supported recruitment efforts by conducting technical interviews.
Bachelor's degree with a focus on Mathematics and Computer Science.
