• Developed and maintained African Whisper, an open-source framework designed to enhance Automatic Speech Recognition (ASR) capabilities for low-resource African languages.• Implemented the methodologies from the following research papers:1. Robust Speech Recognition via Large-Scale Weak Supervision: speech processing systems trained to predict large amounts of transcripts of audio on the internet scaled to 680,000 hours of multilingual and multitask supervision.https://arxiv.org/abs/2212.043562. WhisperX: Time-Accurate Speech Transcription of Long-Form Audio for time-accurate speech recognition with word-level timestamps. https://arxiv.org/abs/2303.007473. Pyannote.audio: neural building blocks for speaker diarization for advanced speaker diarization capabilities. https://arxiv.org/abs/1911.012554. Efficient and High-Quality Neural Machine Translation with OpenNMT for efficient neural machine translation and model acceleration. https://arxiv.org/abs/1701.02810 • Designed the framework to enable developers to fine-tune the Whisper model on multilingual audio datasets and monitor the training process.• Implemented features for developing and deploying a production API for audio file transcription or translation using Docker and Docker Compose for container orchestration.

• Supported AlphaSights's clients in exploring and implementing vector databases by comprehensively understanding their unique requirements, researching tailored solutions, and offering strategic guidance• Leveraging my expertise in vector databases, I enhance their data retrieval and LLM capabilities, providing valuable insights into the full potential of these databases.

• USAID/Kenya East Africa Localization Inclusion and Sustainability Activity (LISA) team.• Optimized SQLAlchemy database schemas, improving data efficiency and retrieval speed.• Engineered data processing pipeline successfully preprocessing over 600 survey responses, more than 3,000 hours of response data.• Built a high-performance ML pipeline that used LLMs to uncover thematic categories of survey response transcripts and visualised for real-time comparison of Language Model analyses with expert evaluations, producing high-relevance categories and relevance calculation using cosine similarity.• Integrated Pyplutchik research, to represent multi-dimensional sentiment patterns.• Achieved complete test coverage, ensuring robust and reliable code quality.• Overall impact, delivered data-driven insights on community perceptions of counter-extremism initiatives, achieving cost savings of $150K and time savings by 75%.

• Contracted on a short-term basis with the UK research firm, successfully spearheaded the development of 10+ Minimum Viable Products (MVPs) showcasing the firm's research work across diverse AI applications. • Leveraged a tech stack that included Python languages, TensorFlow and PyTorch frameworks, as well as backend databases such as MongoDB, and Flask for API development.• Contributed to substantiating and enhancing the impact of the firm's research initiatives by applying technical expertise and proficiency in AI technologies. • Managed cloud deployments and using Docker ensured optimal performance and scalability for the developed solutions. • Achieved 100% test coverage, ensuring robust and reliable code quality for all developed MVPs.

Built an information retrieval application that empowers technicians to quickly identify error codes, root causes, and corrective actions for industrial PLC devices, minimizing downtime and improving operational efficiency.Ensured application scalability and uptime by deploying and monitoring it on GCP.

Managed the complete workflow of retrieving, cleaning, analyzing, and presenting various datasets, incorporating clocking in data. Provided daily delivery and presentation of staff attendance information across multiple departments, contributing to technology rollout implementation and maintenance.Showcased skills in data management, IT support, and collaborative project involvement. Acquired knowledge in handling diverse datasets, supporting IT infrastructure, and actively contributing to the successful execution of IT projects.