- Led the R&D endeavours leveraging automatic speech recognition technologies.- Developed Python-based benchmarking tools for Speech-to-Text (STT) engines.- Automated Airflow ETL for benchmarking and analytics data pipelines.- Built interactive dashboards for data-driven decision making.- Collaborated with interdisciplinary teams to integrate research findings.

- Built a Python-based benchmarking tool to profile STT engines for accurate scoring and assessment.- Spearheaded research on machine learning techniques for unsupervised training of speakerdiarisation models- Implemented a SQL database on Amazon S3 that fed an online machine learning Sparkpipeline for the development of a speaker diarisation model.

- Produced data visualisations to present benchmark results, guiding optimisation and refinement.- Conducted in-depth research and comparative analysis of diverse speaker diarisation algorithms- Implemented a voice activity detection (VAD) algorithm, resulting in a notable reduction in STT transcription word error rate.

The Marketing team was responsible of the design and lead of the marketing campaign through our online presence using social media marketing and building a fully fledged website.The team contacted different departments of the university, Head of Schools, government officials and members of the private sector to effectively attract possible delegates.

As a PASS Leader, I met weekly with 1st year students and fellow PASS Leaders and we addressed questions the students may have whether they are academic-related or regarding settling into the city.I had to plan activities to run for the sessions with my peers and speak to the whole group to explain tutorial exercises.