Highly motivated and results-oriented Senior Data Scientist with a proven track record of delivering innovative solutions across diverse industries. Particular expertise in generative AI, large language models (LLMs), na…
Highly motivated and results-oriented Senior Data Scientist with a proven track record of delivering innovative solutions across diverse industries. Particular expertise in generative AI, large language models (LLMs), natural language processing (NLP), MLOps.
Independently built a generative (and non-generative) AI chatbot framework which can be used to build, test and deploy production-ready chatbots with little-to-no code needed.
This library will be used for all generative AI chatbots within the bank and acts as a proprietary alternative to Langchain.
Designed a state-of-the-art model hosting platform within Kubernetes for hosting LLMs in a sustainable, scalable and highly optimised manner.
Delivered presentations to key stakeholders within the bank to raise awareness of how generative AI can be leveraged to drive efficiency and reduce risk across the bank.
End-to-end design, training and deployment of a proprietary large action model.
This model was used as an orchestrator for a multi-agent virtual assistant that is capable of fulfilling complex requests.
● Independently built a generative (and non-generative) AI chatbot framework which can be used to build, test and deploy production-ready chatbots with little-to-no code needed. This library will be used for all generative AI chatbots within the bank and acts as a proprietary alternative to Langchain.
● Designed a state-of-the-art model hosting platform within Kubernetes for hosting LLMs in a sustainable, scalable and highly optimised manner.
● Delivered presentations to key stakeholders within the bank to raise awareness of how generative AI can be leveraged to drive efficiency and reduce risk across the bank.
● End-to-end design, training and deployment of a proprietary large action model. This model was used as an orchestrator for a multi-agent virtual assistant that is capable of fulfilling complex requests.
Designed and implemented RegGPT, a GPT model that has been fine tuned on regulatory text (SFT + RLHF) for document information retrieval.
Improved OCR accuracy for complex scanned regulatory documents.
Created an ensemble language detection model which outperformed all existing open-source models.
Reduced inference time across the entire ML pipeline by 70% through the use of ONNX, Sparsification and the deployment of Triton Inference Server to Kubernetes.
Built an automated report system that sends personalised weekly reports to senior fraud managers at more than 30 telcos (e.g. Vodafone, EE, BT, Orange and Virgin).
Developed an NLP-based data mining algorithm that searches the internet and identifies reports of Wangiri fraud.
Created an anomaly detection system using ensemble learning to predict the evolving strategies of Wangiri fraud.
Designed and implemented a highly available and scalable microservice architecture in GKE.
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