Benjamin Woods Email & Phone Number

Royston, Gb

Royston, Gb

Cambridge, England, Gb

Current stack + technologies:☕ - Node.js, React, Jest🐍 - Python >=3.8, pytest, Django, DRF, FastAPI, Flask🗃️ - PostgreSQL, Firebase🛠️ - Docker, Poetry, GitLab, Terraform🌐 - OAS3, OAuth, JWTI currently work in the UIS DevOps group at the University of Cambridge, who fulfill central university IT development and IT operations.I am an independent contributor working on a portfolio of products and services including the website for undergraduate admissions.I work as a software generalist, completing both full-stack engineering across multiple teams as well as infrastructure and deployment in more of an SRE capacity.Technologies and Frameworks• TypeScript: I use a variety of different frontend and server-side JavaScript and TypeScript frameworks, including React, Gatsby, Axios, Firebase SDK, and Next.js. Most of time is spent working on critical features, as well as adding deep mocking to enable richer tests using Jest that better follow engineering best practices. I occasionally work with Cypress tests, but work more often with @testing-library/react. Database wise, I primarily work with Firestore and write event-driven code that handles asynchronous operations triggered by database actions.• Python: I use a variety of frameworks including Alembic, SQLAlchemy, Django, Django Rest Framework, and FastAPI. I work on features that are less critical in Python, and typically get more time to write and improve our object-oriented code to adhere more closely to SOLID. I work extensively with pytest, but do occasionally work with pytest-bdd and other Cucumber/Gherkin-flavoured tests. Database wise, I mostly work with Postgres. I work with REST APIs that handle synchronous consumer actions, but also work with APIs that interact with Google Pub/Sub and architecture that uses message queues and similar infrastructure.• Infrastructure: I use tools and technologies such as Docker, Docker Compose, and Terraform as well as a variety of internal, bespoke tools.

London, Gb

Leading and managing the engineering team.Creating and building SOPs, providing team mentorship and guidance. Leading initiatives to accelerate development + improve team performance:🏃 - Transformed engineering team culture from waterfall to Agile, to accelerate development.🧪 - Shifted left the test culture, transforming the team practice to become "add unit tests as you go"📋 - Shifted left the quality culture, transferring ownership of acceptance testing from product owners / company management to the engineers, moving to BDD, and enacting standardized code review🌌 - Shifted left requirements analysis and planning, empowering developers to design their own features with the customer at the center of the universe, and take ownership of customer success⚖️ - Improved code quality culture, by motivating engineers to consider when tech debt is good and badLed the creation of 3 products from scratch. Led customer adoption of 2 of those products, and currently leading piloting for the other 1.Full stack development using Node.js, Electron, Python.Stack + primary technologies:☕ - Node.js, React, Next.js, Babel, ES6, Jest, Electron🐍 - Python >=3.7, pytest, connexion, Flask🗃️ - MongoDB, DynamoDB, SQLite🛠️ - Docker, Poetry, Yarn, Kubernetes, GitLab, Cucumber, Asana, Notion, Safety, Snyk🌐 - OAS3, OAuth, JWT, Microsoft Graph

London, Gb

London, Gb

Natick, Ma, Us

Writing documentation and examples principally for Parallel Computing Toolbox and MATLAB Parallel Server. Work involved using MATLAB, XML, and standard *nix + sysadmin utilities.

Leeds, West Yorkshire, Gb

I worked for the University of Leeds on the Quanticode project (https://lida.leeds.ac.uk/research-projects/quanticode/). My work broadly involved implementation novel machine learning techniques, using Python 3 (scipy, xarray, pandas, dask, yaml). More specifically, the implementation is based on automated machine learning using stochastic control methods with time constraints.

York, Gb

My PhD thesis entitled "Nonlinear wave-particle resonance in deterministic and stochastic kinetic plasmas" involved:- analytical/computational modelling and analysis of nonlinear systems using linear/nonlinearspectral decomposition;- investigating suppression of ad-hoc modelled stochasticity/turbulence in plasma;- machine learning driven correlation studies of complex data sets in tokamak plasmasI gained a large amount of experience with C99, Python 3, MPI, and surrounding technologies including Emacs, *nix (including BASH/sed/awk/grep/ssh), Git, and SGE/Slurm.

Leeds, West Yorkshire, Gb

I worked part-time for BigChange®, examining big data and developing novel data solutions and services for our clients. This involved me engaging in a mixture of full-stack development and data science.I gained experience with Python 3 frameworks (Flask, Jinja, pandas, scipy), Anaconda, JavaScript (ES6), CSS3 + HTML5, SQLite3, Microsoft SQL Server, and MongoDB.

Mphys, Physics

Doctor Of Philosophy (Phd), Plasma And High-Temperature Physics