Physics master’s graduate with a passion to lead the exploration of the future boundaries between human language and artificial intelligence. Public speaker and quantum computing enthusiast
E-mail: tommetcalfe@live.com
Github: @MetcalfeTom
(March 2022 - present)
I lead and manage the data science team at Twain as we develop our natural language processing algorithms.
(September 2019 - March 2022)
I am responsible for engineering and maintaining the core machine learning component of Chattermill’s principal product: our natural language processing stack on Kubernetes which analyses customer feedback data at scale. My role lies at the border between data science and software engineering - ensuring the service is performing with state-of-the-art accuracy without compromising on efficiency. Outside of this, I run and coordinate data science research initiatives on conversational data, ranking algorithms and abstractive text summarisation for future products.
(September 2018 - September 2019)
Machine learning work with a focus on natural language processing: open source natural language understanding and dialogue management software for industrial AI assistants. My projects included collaborations with the open source community and optimisation of dialogue policies; in one customer project I was successful in lowering chatbot training times by a factor of over 100 whilst simultaneously doubling its success rate.
(March 2018 - September 2018)
Received training on market analysis and consulting skills. Led a team in designing and presenting an autonomous waste removal system to key members of the company. Following this training, I was relocated to Paris to work on a research project involving the training of a drone to fly autonomously in its environment using reinforcement learning. By leading a small team I also implemented speech, gesture and facial recognition into the drone’s software to enable it to complete more complex tasks.
Areas of study including quantum & classical mechanics, nuclear physics, condensed matter physics, lasers, quantum computing, cosmology & astrophysics. My Master’s project consisted of classifying cosmic ultra luminous X-ray sources by their electromagnetic spectra, through software I built using Python.
- Python (8 years’ experience)
- Quantum computing (2 years’ experience)
- Public speaking (5 years’ experience)
TensorFlow, PyTorch, Kafka, Gym, scikit-learn, spaCy, Rasa, Unity, Pytest, RegEx
Git, CI/CD, Docker, Kubernetes, Google Cloud Platform, AWS
Dr. Alan Nichol, CTO & Co-founder at Rasa
Dr. Aji Ghose, VP, Data & Research at Chattermill