With over a decade of experience in technology, I have enjoyed working with with clients of all sizes and domains, from C-level to front-line, building scalable systems, implementing cutting-edge AI infrastructure, and architecting software for complex business domains.
My specialisms are in MLOps, productionising machine learning and AI systems, and Domain Driven Design, working with domain experts to translate the complexity of their business domains into efficient software architectures.
I prioritise scalability, modularity, extensibility, and lowering the long-term maintenance burden with rigorous attention to software interfaces and data contracts.
I am looking for innovative and interesting projects and companies looking to scale their technology stack and grow.
My previous work includes:
Working as a principal engineer for directly for our CTO to pivot the company technology strategy away from a Python and DBT approach to the automation of sustainability accounting, towards Rust, Haskell, Elixir, and AWS.
Co-leading the MLOps team for a machine learning startup. I was responsible for working with Data Science, Product Management, and the MLOps team to productionise our machine learning capabilities. I managed the migration of our legacy embedded ML infrastructure to a Kubernetes-first microservice configuration, as well as the implementation of new features. I lead design sessions, co-ordinated with stakeholders, managed timelines, and contributed to implementation.
Working for a Proptech company, I was responsible for liasing with clients to collate requirements, designing and implementing new functionality in our proprietary ERP system, and maintaining the existing codebase. I managed (and worked on) a Barclays Bank integration project, liasing with Barclays and our client, and planning and executing the design-implementation-test cycle. I designed and implemented in our custom ERP system, a supplier management module, and a postal mail integration with ClickSend, among others.
Prior work includes building visual sales resource targeting tools and implementing Salesforce projects at a global scale, as well as improving operational efficiency in Global Sales Operations teams by introducing technology into their business processes.
๐ Nationality | ๐ฌ๐ง United Kingdom |
๐ก Residency | ๐ฌ๐ง United Kingdom |
๐ Location | ๐ฐ๐ช Kenya |
Remote OK | rok.co/@harryjohnson500 |
๐ Website | www.linkedin.com/in/harry-johnson-7044b330 |
GitHub | pseudobabble |
https://www.linkedin.com/in/harry-johnson-7044b330 | |
Skilled in | python php rust js react mlops ml scikit learn tensorflow pytorch aws ec2 lambda s3 ecs cloud database sql mysql postgresql ddd architecture design management implementation docker kubernetes microservices django flask pandas scraping oop dagster airflow machine learning pandas product |
Fluent in | english |
Preferred timezone | -2,-1,0,+1,+2,+3,+4, |
Preferred annual pay (min) | $110,000/year |
Preferred hourly pay (min) | $100/hour |
Last seen | 13 days ago |
Signed up | 15 days ago |
Badges |
๐จโ๐ป Remote worker ๐ Early adopter |
2023 - 2024: Principal Backend Engineer @ Route2
2021 - 2022: Product Engineer @ Eigen Technologies
2018 - 2020: Software Engineer @ Gigabyte Software
2016 - 2018: Competitive Intelligence Analyst @ Finastra
2014 - 2016: Business Analyst @ Finastra
2009 - 2013: MA Hons Philosophy @ University of Edinburgh