Software Developer, Cloud Architect and Data Engineer
Mark has fulfilled many development roles over the decades, gently migrating from network monitoring into frontend and mobile development through full stack development and more recently into serverless backends, data engineering and cloud architecture.
Technical Lead
Data Engineer
App developer
Backend Developer
Frontend Developer
Agile process champion
TDD Implementor
CI/CD Implementor
Architected and implemented a Data Lake used by data scientists and innovation projects at EDF.
Built data pipelines using SmartMeter and enterprise data.
Designed and implemented serverlerless services for use by apps, data pipelines and websites on AWS and GCP
Web and mobile application development.
DevOps: AWS architecture, CI/CD, infrastructure as code
Mentoring on development practices
Linkedin Profile: https://www.linkedin.com/in/markoppenheim/
Senior Technical Consultant
Perusha is a highly respected enterprise developer having worked for many years in multinational companies. She is currently pursuing a PhD in the area of machine learning, specifically reinforcement learning at the University of Reading.
For several years she was the organiser of the Google Developer Group (GDG) and a Women techmaker lead (WTM) for the Reading and Thames Valley area.
She ran many successful events including all-day DevFest conferences attracting up to 150 people with some amazing speakers. She has also given talks on Machine Learning APIs and TensorFlow and run and facilitated ML workshops including Fast.ai and Google's MLCC.
● ML Researcher
● Trainer: fast.ai, Intro to ML, MLCC
● GDG organiser
● Business analyst role in QA critical healthcare systems
● Senior integration developer for automated warehouses and CRM
● Devops and data analysis for production monitoring
● Technical team lead
● Web application developer
● Integration of automated warehouses with enterprise systems - Europe-wide
● Integration of CRM system with enterprise software - Europe-wide
● Development of FDA approved batch control systems in healthcare
● Design and implementation of integration framework for enterprise messaging
● Design and development of a monitoring system providing application-level apis, metrics and dashboards allowing visibility of transaction flow and anomaly detection
● Development of automated OCR services for enterprise systems
TensorFlow - Getting started
Google Cloud Functions and Google Home Actions development
Introduction to Reinforcement Learning
Hierarchical Reinforcement Learning
Perusha Moodley, Benjamin Rosman, and Xia Hong. 2019. "Understanding structure of concurrent actions." In International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer, 78–90.
G. Bright and P. Moodley. "Acoustic Emission Monitoring System for Automated Part Assembly" Third IASTED International Conference Robotics and Manufacturing, Cancun, Mexico, 1995, pp. 98102
G. Bright and P. Moodley. "Sound Signatures Assist Assembly" Assembly Automation International Journal, Vol 15 No. 4, West Yorkshire, England. 1995, pp. 2325.
G. Bright and P. Moodley. "Low Cost 3D Scanning for Reverse Engineering within a CIM System", International Conference on Manufacturing Automation, ICMA'97, Hong Kong, May 1997.
Linkedin Profile: https://www.linkedin.com/in/perusha-moodley/