Kaspars Polis

Angestellt, AI Engineer, Printfull

Riga, Lettland

Fähigkeiten und Kenntnisse

Python
Data Science
Machine Learning
Deep learning
Artificial intelligence
Computer Vision
AWS SageMaker
AWS Lambda
Docker
PostgreSQL
Elasticsearch
Communication
Consulting
Engineering
AWS
Analytics
Big Data
Computer Science
ML
PyTorch
Entrepreneurship
Problem Solving

Werdegang

Berufserfahrung von Kaspars Polis

  • Bis heute 4 Jahre und 10 Monate, seit Aug. 2019

    AI Engineer

    Printfull

    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

  • 1 Jahr und 5 Monate, Aug. 2018 - Dez. 2019

    ML Engineer

    Accenture

    * 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

  • 2017 - 2019

    DevOps Engineer

    Accenture

    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

  • 2010 - 2017

    Software Developer

    LETA

    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

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