Education

2014 - 2018 Imperial College London | MEng Computing (AI)

• Graduated as top of the 2018 class student (Grade: 87.5%).
• Member of departmental student society comitee and tutor in mathematics.
• Received multiple prizes for academic performance and projects.

Work Experience

2019 - Present Deepnote | CTO, co-founder

• Co-founded Deepnote with a mission to build a radically better data science tooling.
• As an IC: developed the original software architecture and selected the tech stack (largely still unchanged).
• As a manager: hired a team of 20 engineers and implemented the necessary processes as the company scaled.
• Eventually migrated back to an IC role, where I worked on mulitple high value projects (SOC2, HIPAA, deployment models).

2018 - 2019 | Two Sigma | Software engineer

• Implemented new execution scheduler significantly increasing model prediction speed (Java).
• Adapted internal build mechanisms to work with new Python APIs.

2017 | Palantir | Software engineer (intern)

• Full stack development of data analytics tool for a customer (Java, Typescript, ElasticSearch)
• Implemented recommendation system based on the content similarity of analyzed documents
• Significantly improved search relevance and performance, improved data pipeline reliability
• Iterated with users on functionality and UX of multiple features during onsite visits

2016 | Google | Site reliability engineer (intern)

• Created a system for analyzing per video resource usage in YouTube ContentID system
• Built an AB load-testing infrastructure using traffic replays for a new ContentID index

Publications

Matas, J., James, S., Davison, A.J. (2018). Sim-to-Real Reinforcement Learning for Deformable Object Manipulation. in Conference on Robot Learning (CORL) 2018 - 300+ citations

Noteable projects

• Learning end-to-end robotic manipulation of deformable objects (Python, Tensorflow, Physics simulators)
  • People’s choice award for best final year project - https://arxiv.org/abs/ 1806.07851
• Global Air Traffic Management For UAVs - in association Microsoft (C#, Python)
  • Palantir Forward Group Project Prize for outstanding third year group project - https://bit.ly/2uXJSCs
• Neural networks - character recognition and traveling salesman problem using recurrent neural network (Java)
  • CPP prize for best project in category, team leader (5 imperial students)
• Improving Code Completion with Machine Learning (GPT2, LSTM)
  • Proposed and led final year project for an Imperial student https://bit.ly/code-completion
• AREROS - autonomous rescue robotic system able to navigate in dangerous environments
  • Intel ISEF 2012 – Finalist, World championship in robotics RoboCup jr. 2011 - 1st place

Skills

• ML
• RL
• K8s
• Python
• Compliance
• TypeScript
• Terraform
• AWS
• GCP
• Hiring
• Eng Management
• Comp Vision
• Robotics