Machine Learning Researcher

• Jun 2023 - Present

Coordinating technical development of EU-Guardian in institute, a cyber security research project carried out by multiple research institutions. Architecture, design and implementation. Mentoring students. Trustworthiness of AI. Contributing to AI for Defence EU regulation research for European Commission at European Defense Agency (EDA). EU-Guardian is an AI cyber security platform with automated response and self-improvement capability for military use. Python, PyTorch, LLMs. Architecture, design. NATO Architecture Framework (NAFv4). Show less

CEO/Senior Machine Learning Engineer

• Oct 2022 - Present

Machine learning model training and implementations, ChatGPT prompt engineering. Projects: - Implemented custom CLIP model classifier with PyTorch - Implemented YOLO5 model classifier, deployed in production - Segmentation and classification with YOLO - Migrated apps to GCP and implemented Cloud Build, CloudRun - Implemented Terraform Kubernetes on Azure and deployed NGINX Machine learning model training and implementations, ChatGPT prompt engineering. Projects: - Implemented custom CLIP model classifier with PyTorch - Implemented YOLO5 model classifier, deployed in production - Segmentation and classification with YOLO - Migrated apps to GCP and implemented Cloud Build, CloudRun - Implemented Terraform Kubernetes on Azure and deployed NGINX

Member

• Jul 2021 - Present

Board Member

• Mar 2022 - Apr 2023

Machine Learning Operations Engineer

• Apr 2021 - Oct 2022

Implementing MLOps solutions and monitoring ML models. Python, Kubeflow and MLFlow. Flask, FastAPI. CI/CD, GitOps, Jenkins with GitHub, Terraform, Kubernetes. GCP Vertex AI BigQuery Implementing MLOps solutions and monitoring ML models. Python, Kubeflow and MLFlow. Flask, FastAPI. CI/CD, GitOps, Jenkins with GitHub, Terraform, Kubernetes. GCP Vertex AI BigQuery

Machine Learning Researcher

• Mar 2019 - Apr 2021

Developing AI applications with deep-learning and computer vision. Presenting at conferences. Projects: - ML for Cyber Security Building a distributed system for intelligent log analysis with Machine Learning. Threat analysis. Zeek, Kafka, Elasticsearch, Suricata, Docker, Kubernetes. MLFlow - OSINT Built an event-driven crawling and scraping system with image recognition, sentiment analysis and location data. Machine Learning, OpenCV, NodeJS, JavaScript, HTML, CSS, Puppeteer, Docker. - Pentesting environment Set up an environment for pen-testing and cyber security incident handling practice. Kali. Linux. AWS. - Incident Management flow Setting up incident management flow for national CIRTs (Cyber Incident Response Teams). Python, Linux, Postfix, RTIR. Trainings. Show less

Learning Entrepreneurship

• Jan 2020 - May 2020

- Learning how to build a company. Product development, partnerships. Business models. Python, React, React Native, IOTA distributed ledger use and cryptocurrency application. - Learning how to build a company. Product development, partnerships. Business models. Python, React, React Native, IOTA distributed ledger use and cryptocurrency application.

DevOps Engineer

• Feb 2018 - Mar 2019

DevOps Engineer, working by Agile methods with email service, automation, server administration. Social good officer of Vilnius division. Projects: - Set-up email service quality KPI reporting with SPLUNK. - Set-up spam monitoring with SPLUNK. - Implemented DMARC for securing email service. - Made automations with python, bash, Elasticsearch. - 24/7 service administration. Fighting spammers, phishers, protecting email accounts of CEO and board members from attackers. - Organized social good projects with animal shelter and children day care center. Show less

Research Assistant

• Aug 2017 - Oct 2017

Project: - Data analysis for the MicroBooNE experiment, studying electron neutrino events and cosmic rays. Python, ROOT, Statistical Analysis, Standard Model physics, neutrino oscillations. Project: - Data analysis for the MicroBooNE experiment, studying electron neutrino events and cosmic rays. Python, ROOT, Statistical Analysis, Standard Model physics, neutrino oscillations.

Summer Intern

• Jul 2017 - Aug 2017

Project: - Data analysis for MicroBooNE experiment, looking for electron neutrinos and cosmic rays. Python, ROOT, Statistical Analysis, Particle Physics, Standard Model physics. Project: - Data analysis for MicroBooNE experiment, looking for electron neutrinos and cosmic rays. Python, ROOT, Statistical Analysis, Particle Physics, Standard Model physics.

Programmer

• Apr 2017 - Jun 2017

Writing programs for editing and typesetting articles for science journals in Python. Managing electronic documents. Project: - Automation of article editing by detecting specific style patterns and styling them according to journal regulations. Python, Git. Writing programs for editing and typesetting articles for science journals in Python. Managing electronic documents. Project: - Automation of article editing by detecting specific style patterns and styling them according to journal regulations. Python, Git.

Summer Internship

• Jul 2016 - Sep 2016

Data analysis for ATLAS, looking for the lightest supersymmetric particle (LSP). Project: - Working with CERN distributed computer network Grid. - Trigger level information data analysis. - Dark Matter search. Python, ROOT, CERN Grid. Physics of Standard Model and beyond, particle physics, particle interactions, statistical analysis. Data analysis for ATLAS, looking for the lightest supersymmetric particle (LSP). Project: - Working with CERN distributed computer network Grid. - Trigger level information data analysis. - Dark Matter search. Python, ROOT, CERN Grid. Physics of Standard Model and beyond, particle physics, particle interactions, statistical analysis.

Data Scientist

• Jul 2015 - Jul 2016

Applying Machine Learning for Higgs Boson search in LHC data. Projects: - Data analysis of Higgs boson decays and presentation, conference talks. C++, ROOT, Machine Learning: Boosted Decision Trees, Neural Networks, Git. Standard Model physics, particle physics, particle interactions. - Teaching bachelor students C++, ROOT and data analysis. Applying Machine Learning for Higgs Boson search in LHC data. Projects: - Data analysis of Higgs boson decays and presentation, conference talks. C++, ROOT, Machine Learning: Boosted Decision Trees, Neural Networks, Git. Standard Model physics, particle physics, particle interactions. - Teaching bachelor students C++, ROOT and data analysis.