Dr. Ajayrama Kumaraswamy

Javascript engineer - Frontend and micro-services - Stack: MySQL, Postgres, Docker, Kubernetes, Keycloak, React, Redux, NextJS, NestJS, Jest - Collaborate with other devs to drive architectural decisions (we didn't have separate architect) - Agile delivery of value increments: from grooming to stakeholder review - Test-driven development, maintenance and technical initiatives

Development of a self service BI tool using PowerBI - Requirement analysis, scope definition - Comparing and choosing technical solution - Transformation of data model to make data BI-ready - Data staging and transformation using PowerBI Dataflows - Created datasets, reports and deployment pipelines - Orchestrated data refresh using Power Automate - Security concept considering data governance, privacy and security - User demo and onboarding - Training colleagues in "Creating value with Data Science"

- Development a framework for processing and visualization of Calcium imaging data in Python - Modular API with tests, PyQt5 GUI for interactive use and demonstrative scripts - Detailed documentation enabling users to easily install, update and use - Incorporated existing open source tools as plugins - Continuous collaboration with users for presenting new features, getting feedback on requirement and bugs, enabling fast release cycle

- Japanese-German Collaboration project - First author on 2 publications, Co-author on 3 more - Developed and validated an algorithm for spatially aligning 3D structures of nerve cells in Python - Developed a pipeline for processing 1D electrical response data of nerve cells using metadata management, filtering, reliable peak detection and report generation - Set up and ran multiple nerve cell simulations using local and remote compute servers - Proposed and supervised three student projects

- Developed a framework in Python for pre-processing 3D images and segmenting neurons using state-of-the-art algorithms - Consulted on a project segmenting nerve cell nuclei from 3D images; developed supporting software for measuring pipeline performance. - Co-author on a publication - Enabled researchers to use new computational tools and methods

-Took courses in mathematical foundations for signal processing, basic machine learning, image processing, DSP hardware programming, Adaptive filters.