
ML-based automated issue management, defect classification and bug triaging.
Atlassian Jira
Machine Learning
Deep Learning
Project Management
Issue Processing
Java
Spring Boot
Python
Celery
Ray Serve
Kubernetes
Docker
Atlassian Connect Spring Boot
JavaScript
React
Py4J
RabbitMQ
Apache Ignite
PostgreSQL
Amazon EKS
Jenkins
SQL

Peter Gagarinov
Software Engineering Architect and Consultant
Software engineering architect and an open source enthusiast with a focus on machine learning, trading system, applied financial and mathematical modelling, distributed systems and technical computing.
Related
- Scalable machine learning with Apache Ignite, Python, and Julia: from prototype to production
- Using Apache Ignite to boost the development of Jira Cloud apps
- Awesome Software Engineering (2020-present)
- Equity Index Volatility and Correlation Trading System (2013–2015)
- Scalable machine learning with Apache Ignite, Python and Julia: from prototype to production
Publications
Events
Peter Gagarinov shares his experience with integrating Apache Ignite with external machine frameworks.
May 25, 2021
Virtual Event
Peter Gagarinov
Peter shares his Apache Ignite experience. He will show how one can minimize the number of blocks in a complex, scalable backend for an ML-based, automated issue-management system (Alliedium), as you stay within the Java ecosystem and the microservice paradigm.
Mar 2, 2021
Virtual Event
Peter Gagarinov