Kaspars Polis

Working on machine learning projects Main focus on computer vision, particularly in object detection and the creation of hybrid solutions. Develop fully functional automation solutions from data set creation to model training, and integration into production environments using AWS Sagemaker / Lambda, Pytorch, Image transformes. Contribute to new candidate job interview processes by formulating questions and evaluating feedback based on task performance and CV reviews

* AI/ML Urban City Traffic Light controlling with SUMO using Reinforcement learning - PoC Developing Agent-based Intelligent Control System Algorithm research Model training Technologies: SUMO, TraCI, TF, AWS DeepLens, AWS VPC , EMQX, Python, three.js

System maintenance and feature implementation Issue investigation, CI/CD Pipeline automatization Delivery, support and fixing daily issues, support lead role Technologies: Jira, Azure, Jenkins, Atlassian, Chef, Linux, Selenium, Splunk. Methodologies: DevOps, Scrum, Kanban, Agile

Design of systems aimed at recognizing keywords in the Latvian language Audio signal classification, research into algorithms, maintenance of infrastructure Computer network monitoring, administrations and introduction of automation Firewall, gateway administration, IT projects supervision Following project deadlines Implement new features and fix issues across the system, and find best algorithms. Technologies:Python Tornado API, WEKA, Matlab, Sphinx4, Xen, Docker, PostgresQL, EL, Sphinx