Senior Machine Learning Engineer

• Dec 2021 - Present

Lead Data Scientist

• 2020 - 2021

Researching natural language processing to open up access to justice globally. Using NLP we are trying to scale legal advice across jurisdictions, where currently it is prohibitively expensive for most people to hire a lawyer.Winners of the 2021 Law Society's Award for Technical Excellence & Innovation https://www.lawsociety.org.uk/campaigns/excellence-awards/2021-winners Researching natural language processing to open up access to justice globally. Using NLP we are trying to scale legal advice across jurisdictions, where currently it is prohibitively expensive for most people to hire a lawyer.Winners of the 2021 Law Society's Award for Technical Excellence & Innovation https://www.lawsociety.org.uk/campaigns/excellence-awards/2021-winners

Data Scientist | Machine Learning Engineer (NLP)

• 2018 - 2020

At the forefront of the development of Samsung's AI initiatives in Automatic Speech Recognition & NLP. Lead efforts to ensure the successful CI & CD of Samsung’s ASR services across the US and Korean market, including: model adaptation in TensorFlow; dockerising; testing and deployment.System admin of a NAS server controlling the pre-processing, organising and distribution of terabytes of unstructured data for training & performing regression tests on deep learning models.Unlocked key insights, training transformer models using TensorFlow on multiple GPUs and TPUs via GCP.

Co-Founder at Speakeasy | AI Specialist | Software Engineer

• 2017 - 2018

In charge of the development of a robust, production scale, cloud based, end-to-end, speech analysis AI as a part of Samsung's internal start-up incubator.Numerous deep learning architectures were developed in order to deliver a solution which could best solve problems in Natural Language Processing (NLP), including:-Sequence-to-Sequence Models-Attention Models-Recurrent Neural Networks-Uni/Bidirectional LSTMs-CTC Decoding-Convolution Neural NetworksA production scale REST API was developed to handle a high volume of requests to the app end-point. A brief description of the architecture is given below:-The web server was configured with Nginx-Gunicorn was the Python WSGI server of choice-Flask was utilised as a Python Framework -Tensorflow Serving was used to deliver the model prediction to be sent to back to the client-Hosted on Google App Engine

Computational Research Scientist

• 2016 - 2017

Tasked with researching cutting-edge technology in order to build mathematical simulations which were used to develop new products/algorithms for consumers.Examples included: -Investigating the use of Neural Networks for biometric authentication-Implementing various Machine Learning algorithms (Including Deep Learning) for passive depth mapping-Developing 4-D Light Field displays for handheld and head-mounted devices-Designing Augmented-Reality (AR) glasses with rigorous diffractive simulations (RCWA)-Estimating glucose levels using diffractive optical sensing techniques

Optical Design Engineer

• Sep 2014 - Dec 2015

Designed novel optomechanical imaging systems for next generation smartphone technology The scope of the work included: -Performing thorough literature reviews, on academic papers & patents, in order to summarize key conclusions on the applicability of emerging technology.-Building optical systems from mathematical conception & lens design, in CODEV, to tolerancing & assembly for mass production. Examples include: dual camera modules; compact zoom cameras; optical coatings; MEMS actuators; electronic lenses and other exotic optical devices.

Summer Engineering Intern

• Jul 2014 - Sep 2014

Responsible for the research and processing of novel materials to enhance the forefront of lens technology.